Lediga job som Civilingenjör i datateknik

SCRL is a mobile-first design platform built for social media and used by millions of creators worldwide.

We're a team based in central Stockholm, working closely across functions with a shared commitment to quality, clarity, and craft.

The role

This is a role with real impact and plenty of room to grow. You'll join the data team and work on the infrastructure that powers SCRL's analytics, forecasting, and AI-driven product features — from event ingestion all the way to the data services our apps rely on.

We're open to a range of experience levels. If you're earlier in your career, you'll learn alongside experienced data and engineering teammates and grow into broader ownership of the systems you build. If you come in with more experience, you'll have the opportunity to shape the direction of our data infrastructure and raise the bar for what we build next.

Either way, you'll work on real systems with real users — and you'll have the freedom to do the best work of your career.

What you will do

Data pipelines & infrastructure

• Contribute to our ETL across the stack, helping make it easier to use, more reliable, and clearer when something goes wrong.
• Build and maintain ingestion pipelines from the services we rely on (RevenueCat, Firebase Analytics, attribution providers, ad networks, and others) via API and event streaming.
• Work in our BigQuery warehouse — schema design, Terraform-managed infrastructure, partitioning, and query optimization for a dataset that serves millions of users.
• Develop and maintain GCP Cloud Functions and Cloud Run services for event processing, transformations, and scheduled jobs.
• Help evolve our internal Python framework for shared models, utilities, and pipeline components used across the data codebase.

Analytics & modeling support

• Bring data scientists' and analysts' models into production so they can be consumed reliably by the apps, backend services, and internal tools.
• Build and maintain the data services that power product features such as template recommendations and personalization.
• Support subscription analytics infrastructure: cohorting, LTV, ROAS, retention, and forecasting pipelines across iOS and Android.
• Develop internal libraries and shared SQL/Python primitives for app metrics calculation, used by the broader team.

Data quality, observability & craft

• Help implement monitoring, alerting, and data quality checks so we catch issues before stakeholders do.
• Contribute to lineage and documentation that makes the warehouse navigable for everyone who uses it.
• Support GDPR-compliant data handling, including consent propagation, retention policies, and deletion across systems.
• Help maintain consistency of event schemas and metric definitions across web and mobile platforms.
• Be a contributor to — and over time a champion of — data culture across the company.

You should have

Technical foundations

• Languages: Solid proficiency in Python and SQL. Comfort with TypeScript/NodeJS or similar for service work is a plus, not a requirement.
• Warehousing: Hands-on experience with cloud data warehouses, ideally BigQuery — or strong fundamentals you're ready to transfer.
• Pipelines: Some experience building or contributing to production data pipelines, from ingestion through transformation to serving.
• Cloud infrastructure: Exposure to GCP (or AWS/Azure) is a strong plus. Familiarity with infrastructure as code (e.g. Terraform) is welcome but can be learned on the job.

Mindset & approach

• Curiosity and care for craft: You take pride in the quality of what you ship and want to keep getting better at it.
• Data pipelines owner mindset: You're interested in fully managing data flows from ingestion to processing, even if you haven't done it end-to-end yet.
• Quality and pragmatism: You can work at a healthy pace without compromising the things that matter — clarity, reliability, and correctness.
• Can-do attitude: Self-motivated problem solver with an eye for detail and an internal drive for excellence.

Product & business understanding

• Subscription apps: Experience with or strong interest in subscription-based app businesses and freemium models.
• Cross-platform thinking: Interest in the complexities of unifying data across web, iOS, and Android.
• Analytics-driven approach: Comfortable working closely with analysts and data scientists, and wanting the data layer you build to support the insights the business needs.

Collaboration & communication

• Team player: You work closely and generously with analysts, data scientists, backend, and mobile engineers.
• Clear communication: You can explain what you're working on in a way that makes sense to teammates who don't share your technical background.

We offer

• High-impact role: You'll work on the data platform that powers analytics, forecasting, and AI features for millions of users.
• Room to grow: Take ownership of systems from early on, with support from experienced teammates and the space to develop into broader scope over time.
• Startup environment: Fast-paced decision making with direct impact on product direction.
• Strong team: Work alongside experienced data and engineering professionals in central Stockholm.
• Competitive package: Market-rate salary with opportunities for professional development.
• Creative culture: Be part of a profitable company that values creativity and user experience.

SCRL is a mobile-first design platform built for social media and used by millions of creators worldwide.

We're a team based in central Stockholm, working closely across functions with a shared commitment to quality, clarity, and craft.

The role

This is a role with real impact and plenty of room to grow. You'll join the data team and work on the infrastructure that powers SCRL's analytics, forecasting, and AI-driven product features — from event ingestion all the way to the data services our apps rely on.

We're open to a range of experience levels. If you're earlier in your career, you'll learn alongside experienced data and engineering teammates and grow into broader ownership of the systems you build. If you come in with more experience, you'll have the opportunity to shape the direction of our data infrastructure and raise the bar for what we build next.

Either way, you'll work on real systems with real users — and you'll have the freedom to do the best work of your career.

What you will do

Data pipelines & infrastructure

• Contribute to our ETL across the stack, helping make it easier to use, more reliable, and clearer when something goes wrong.
• Build and maintain ingestion pipelines from the services we rely on (RevenueCat, Firebase Analytics, attribution providers, ad networks, and others) via API and event streaming.
• Work in our BigQuery warehouse — schema design, Terraform-managed infrastructure, partitioning, and query optimization for a dataset that serves millions of users.
• Develop and maintain GCP Cloud Functions and Cloud Run services for event processing, transformations, and scheduled jobs.
• Help evolve our internal Python framework for shared models, utilities, and pipeline components used across the data codebase.

Analytics & modeling support

• Bring data scientists' and analysts' models into production so they can be consumed reliably by the apps, backend services, and internal tools.
• Build and maintain the data services that power product features such as template recommendations and personalization.
• Support subscription analytics infrastructure: cohorting, LTV, ROAS, retention, and forecasting pipelines across iOS and Android.
• Develop internal libraries and shared SQL/Python primitives for app metrics calculation, used by the broader team.

Data quality, observability & craft

• Help implement monitoring, alerting, and data quality checks so we catch issues before stakeholders do.
• Contribute to lineage and documentation that makes the warehouse navigable for everyone who uses it.
• Support GDPR-compliant data handling, including consent propagation, retention policies, and deletion across systems.
• Help maintain consistency of event schemas and metric definitions across web and mobile platforms.
• Be a contributor to — and over time a champion of — data culture across the company.

You should have

Technical foundations

• Languages: Solid proficiency in Python and SQL. Comfort with TypeScript/NodeJS or similar for service work is a plus, not a requirement.
• Warehousing: Hands-on experience with cloud data warehouses, ideally BigQuery — or strong fundamentals you're ready to transfer.
• Pipelines: Some experience building or contributing to production data pipelines, from ingestion through transformation to serving.
• Cloud infrastructure: Exposure to GCP (or AWS/Azure) is a strong plus. Familiarity with infrastructure as code (e.g. Terraform) is welcome but can be learned on the job.

Mindset & approach

• Curiosity and care for craft: You take pride in the quality of what you ship and want to keep getting better at it.
• Data pipelines owner mindset: You're interested in fully managing data flows from ingestion to processing, even if you haven't done it end-to-end yet.
• Quality and pragmatism: You can work at a healthy pace without compromising the things that matter — clarity, reliability, and correctness.
• Can-do attitude: Self-motivated problem solver with an eye for detail and an internal drive for excellence.

Product & business understanding

• Subscription apps: Experience with or strong interest in subscription-based app businesses and freemium models.
• Cross-platform thinking: Interest in the complexities of unifying data across web, iOS, and Android.
• Analytics-driven approach: Comfortable working closely with analysts and data scientists, and wanting the data layer you build to support the insights the business needs.

Collaboration & communication

• Team player: You work closely and generously with analysts, data scientists, backend, and mobile engineers.
• Clear communication: You can explain what you're working on in a way that makes sense to teammates who don't share your technical background.

We offer

• High-impact role: You'll work on the data platform that powers analytics, forecasting, and AI features for millions of users.
• Room to grow: Take ownership of systems from early on, with support from experienced teammates and the space to develop into broader scope over time.
• Startup environment: Fast-paced decision making with direct impact on product direction.
• Strong team: Work alongside experienced data and engineering professionals in central Stockholm.
• Competitive package: Market-rate salary with opportunities for professional development.
• Creative culture: Be part of a profitable company that values creativity and user experience.

SCRL is a mobile-first design platform built for social media and used by millions of creators worldwide.

We're a team based in central Stockholm, working closely across functions with a shared commitment to quality, clarity, and craft.

The role

This is a role with real impact and plenty of room to grow. You'll join the data team and work on the infrastructure that powers SCRL's analytics, forecasting, and AI-driven product features — from event ingestion all the way to the data services our apps rely on.

We're open to a range of experience levels. If you're earlier in your career, you'll learn alongside experienced data and engineering teammates and grow into broader ownership of the systems you build. If you come in with more experience, you'll have the opportunity to shape the direction of our data infrastructure and raise the bar for what we build next.

Either way, you'll work on real systems with real users — and you'll have the freedom to do the best work of your career.

What you will do

Data pipelines & infrastructure

• Contribute to our ETL across the stack, helping make it easier to use, more reliable, and clearer when something goes wrong.
• Build and maintain ingestion pipelines from the services we rely on (RevenueCat, Firebase Analytics, attribution providers, ad networks, and others) via API and event streaming.
• Work in our BigQuery warehouse — schema design, Terraform-managed infrastructure, partitioning, and query optimization for a dataset that serves millions of users.
• Develop and maintain GCP Cloud Functions and Cloud Run services for event processing, transformations, and scheduled jobs.
• Help evolve our internal Python framework for shared models, utilities, and pipeline components used across the data codebase.

Analytics & modeling support

• Bring data scientists' and analysts' models into production so they can be consumed reliably by the apps, backend services, and internal tools.
• Build and maintain the data services that power product features such as template recommendations and personalization.
• Support subscription analytics infrastructure: cohorting, LTV, ROAS, retention, and forecasting pipelines across iOS and Android.
• Develop internal libraries and shared SQL/Python primitives for app metrics calculation, used by the broader team.

Data quality, observability & craft

• Help implement monitoring, alerting, and data quality checks so we catch issues before stakeholders do.
• Contribute to lineage and documentation that makes the warehouse navigable for everyone who uses it.
• Support GDPR-compliant data handling, including consent propagation, retention policies, and deletion across systems.
• Help maintain consistency of event schemas and metric definitions across web and mobile platforms.
• Be a contributor to — and over time a champion of — data culture across the company.

You should have

Technical foundations

• Languages: Solid proficiency in Python and SQL. Comfort with TypeScript/NodeJS or similar for service work is a plus, not a requirement.
• Warehousing: Hands-on experience with cloud data warehouses, ideally BigQuery — or strong fundamentals you're ready to transfer.
• Pipelines: Some experience building or contributing to production data pipelines, from ingestion through transformation to serving.
• Cloud infrastructure: Exposure to GCP (or AWS/Azure) is a strong plus. Familiarity with infrastructure as code (e.g. Terraform) is welcome but can be learned on the job.

Mindset & approach

• Curiosity and care for craft: You take pride in the quality of what you ship and want to keep getting better at it.
• Data pipelines owner mindset: You're interested in fully managing data flows from ingestion to processing, even if you haven't done it end-to-end yet.
• Quality and pragmatism: You can work at a healthy pace without compromising the things that matter — clarity, reliability, and correctness.
• Can-do attitude: Self-motivated problem solver with an eye for detail and an internal drive for excellence.

Product & business understanding

• Subscription apps: Experience with or strong interest in subscription-based app businesses and freemium models.
• Cross-platform thinking: Interest in the complexities of unifying data across web, iOS, and Android.
• Analytics-driven approach: Comfortable working closely with analysts and data scientists, and wanting the data layer you build to support the insights the business needs.

Collaboration & communication

• Team player: You work closely and generously with analysts, data scientists, backend, and mobile engineers.
• Clear communication: You can explain what you're working on in a way that makes sense to teammates who don't share your technical background.

We offer

• High-impact role: You'll work on the data platform that powers analytics, forecasting, and AI features for millions of users.
• Room to grow: Take ownership of systems from early on, with support from experienced teammates and the space to develop into broader scope over time.
• Startup environment: Fast-paced decision making with direct impact on product direction.
• Strong team: Work alongside experienced data and engineering professionals in central Stockholm.
• Competitive package: Market-rate salary with opportunities for professional development.
• Creative culture: Be part of a profitable company that values creativity and user experience.

SCRL is a mobile-first design platform built for social media and used by millions of creators worldwide.

We're a team based in central Stockholm, working closely across functions with a shared commitment to quality, clarity, and craft.

The role

This is a role with real impact and plenty of room to grow. You'll join the data team and work on the infrastructure that powers SCRL's analytics, forecasting, and AI-driven product features — from event ingestion all the way to the data services our apps rely on.

We're open to a range of experience levels. If you're earlier in your career, you'll learn alongside experienced data and engineering teammates and grow into broader ownership of the systems you build. If you come in with more experience, you'll have the opportunity to shape the direction of our data infrastructure and raise the bar for what we build next.

Either way, you'll work on real systems with real users — and you'll have the freedom to do the best work of your career.

What you will do

Data pipelines & infrastructure

• Contribute to our ETL across the stack, helping make it easier to use, more reliable, and clearer when something goes wrong.
• Build and maintain ingestion pipelines from the services we rely on (RevenueCat, Firebase Analytics, attribution providers, ad networks, and others) via API and event streaming.
• Work in our BigQuery warehouse — schema design, Terraform-managed infrastructure, partitioning, and query optimization for a dataset that serves millions of users.
• Develop and maintain GCP Cloud Functions and Cloud Run services for event processing, transformations, and scheduled jobs.
• Help evolve our internal Python framework for shared models, utilities, and pipeline components used across the data codebase.

Analytics & modeling support

• Bring data scientists' and analysts' models into production so they can be consumed reliably by the apps, backend services, and internal tools.
• Build and maintain the data services that power product features such as template recommendations and personalization.
• Support subscription analytics infrastructure: cohorting, LTV, ROAS, retention, and forecasting pipelines across iOS and Android.
• Develop internal libraries and shared SQL/Python primitives for app metrics calculation, used by the broader team.

Data quality, observability & craft

• Help implement monitoring, alerting, and data quality checks so we catch issues before stakeholders do.
• Contribute to lineage and documentation that makes the warehouse navigable for everyone who uses it.
• Support GDPR-compliant data handling, including consent propagation, retention policies, and deletion across systems.
• Help maintain consistency of event schemas and metric definitions across web and mobile platforms.
• Be a contributor to — and over time a champion of — data culture across the company.

You should have

Technical foundations

• Languages: Solid proficiency in Python and SQL. Comfort with TypeScript/NodeJS or similar for service work is a plus, not a requirement.
• Warehousing: Hands-on experience with cloud data warehouses, ideally BigQuery — or strong fundamentals you're ready to transfer.
• Pipelines: Some experience building or contributing to production data pipelines, from ingestion through transformation to serving.
• Cloud infrastructure: Exposure to GCP (or AWS/Azure) is a strong plus. Familiarity with infrastructure as code (e.g. Terraform) is welcome but can be learned on the job.

Mindset & approach

• Curiosity and care for craft: You take pride in the quality of what you ship and want to keep getting better at it.
• Data pipelines owner mindset: You're interested in fully managing data flows from ingestion to processing, even if you haven't done it end-to-end yet.
• Quality and pragmatism: You can work at a healthy pace without compromising the things that matter — clarity, reliability, and correctness.
• Can-do attitude: Self-motivated problem solver with an eye for detail and an internal drive for excellence.

Product & business understanding

• Subscription apps: Experience with or strong interest in subscription-based app businesses and freemium models.
• Cross-platform thinking: Interest in the complexities of unifying data across web, iOS, and Android.
• Analytics-driven approach: Comfortable working closely with analysts and data scientists, and wanting the data layer you build to support the insights the business needs.

Collaboration & communication

• Team player: You work closely and generously with analysts, data scientists, backend, and mobile engineers.
• Clear communication: You can explain what you're working on in a way that makes sense to teammates who don't share your technical background.

We offer

• High-impact role: You'll work on the data platform that powers analytics, forecasting, and AI features for millions of users.
• Room to grow: Take ownership of systems from early on, with support from experienced teammates and the space to develop into broader scope over time.
• Startup environment: Fast-paced decision making with direct impact on product direction.
• Strong team: Work alongside experienced data and engineering professionals in central Stockholm.
• Competitive package: Market-rate salary with opportunities for professional development.
• Creative culture: Be part of a profitable company that values creativity and user experience.

SCRL is a mobile-first design platform built for social media and used by millions of creators worldwide.

We're a team based in central Stockholm, working closely across functions with a shared commitment to quality, clarity, and craft.

The role

This is a role with real impact and plenty of room to grow. You'll join the data team and work on the infrastructure that powers SCRL's analytics, forecasting, and AI-driven product features — from event ingestion all the way to the data services our apps rely on.

We're open to a range of experience levels. If you're earlier in your career, you'll learn alongside experienced data and engineering teammates and grow into broader ownership of the systems you build. If you come in with more experience, you'll have the opportunity to shape the direction of our data infrastructure and raise the bar for what we build next.

Either way, you'll work on real systems with real users — and you'll have the freedom to do the best work of your career.

What you will do

Data pipelines & infrastructure

• Contribute to our ETL across the stack, helping make it easier to use, more reliable, and clearer when something goes wrong.
• Build and maintain ingestion pipelines from the services we rely on (RevenueCat, Firebase Analytics, attribution providers, ad networks, and others) via API and event streaming.
• Work in our BigQuery warehouse — schema design, Terraform-managed infrastructure, partitioning, and query optimization for a dataset that serves millions of users.
• Develop and maintain GCP Cloud Functions and Cloud Run services for event processing, transformations, and scheduled jobs.
• Help evolve our internal Python framework for shared models, utilities, and pipeline components used across the data codebase.

Analytics & modeling support

• Bring data scientists' and analysts' models into production so they can be consumed reliably by the apps, backend services, and internal tools.
• Build and maintain the data services that power product features such as template recommendations and personalization.
• Support subscription analytics infrastructure: cohorting, LTV, ROAS, retention, and forecasting pipelines across iOS and Android.
• Develop internal libraries and shared SQL/Python primitives for app metrics calculation, used by the broader team.

Data quality, observability & craft

• Help implement monitoring, alerting, and data quality checks so we catch issues before stakeholders do.
• Contribute to lineage and documentation that makes the warehouse navigable for everyone who uses it.
• Support GDPR-compliant data handling, including consent propagation, retention policies, and deletion across systems.
• Help maintain consistency of event schemas and metric definitions across web and mobile platforms.
• Be a contributor to — and over time a champion of — data culture across the company.

You should have

Technical foundations

• Languages: Solid proficiency in Python and SQL. Comfort with TypeScript/NodeJS or similar for service work is a plus, not a requirement.
• Warehousing: Hands-on experience with cloud data warehouses, ideally BigQuery — or strong fundamentals you're ready to transfer.
• Pipelines: Some experience building or contributing to production data pipelines, from ingestion through transformation to serving.
• Cloud infrastructure: Exposure to GCP (or AWS/Azure) is a strong plus. Familiarity with infrastructure as code (e.g. Terraform) is welcome but can be learned on the job.

Mindset & approach

• Curiosity and care for craft: You take pride in the quality of what you ship and want to keep getting better at it.
• Data pipelines owner mindset: You're interested in fully managing data flows from ingestion to processing, even if you haven't done it end-to-end yet.
• Quality and pragmatism: You can work at a healthy pace without compromising the things that matter — clarity, reliability, and correctness.
• Can-do attitude: Self-motivated problem solver with an eye for detail and an internal drive for excellence.

Product & business understanding

• Subscription apps: Experience with or strong interest in subscription-based app businesses and freemium models.
• Cross-platform thinking: Interest in the complexities of unifying data across web, iOS, and Android.
• Analytics-driven approach: Comfortable working closely with analysts and data scientists, and wanting the data layer you build to support the insights the business needs.

Collaboration & communication

• Team player: You work closely and generously with analysts, data scientists, backend, and mobile engineers.
• Clear communication: You can explain what you're working on in a way that makes sense to teammates who don't share your technical background.

We offer

• High-impact role: You'll work on the data platform that powers analytics, forecasting, and AI features for millions of users.
• Room to grow: Take ownership of systems from early on, with support from experienced teammates and the space to develop into broader scope over time.
• Startup environment: Fast-paced decision making with direct impact on product direction.
• Strong team: Work alongside experienced data and engineering professionals in central Stockholm.
• Competitive package: Market-rate salary with opportunities for professional development.
• Creative culture: Be part of a profitable company that values creativity and user experience.

SCRL is a mobile-first design platform built for social media and used by millions of creators worldwide.

We're a team based in central Stockholm, working closely across functions with a shared commitment to quality, clarity, and craft.

The role

This is a role with real impact and plenty of room to grow. You'll join the data team and work on the infrastructure that powers SCRL's analytics, forecasting, and AI-driven product features — from event ingestion all the way to the data services our apps rely on.

We're open to a range of experience levels. If you're earlier in your career, you'll learn alongside experienced data and engineering teammates and grow into broader ownership of the systems you build. If you come in with more experience, you'll have the opportunity to shape the direction of our data infrastructure and raise the bar for what we build next.

Either way, you'll work on real systems with real users — and you'll have the freedom to do the best work of your career.

What you will do

Data pipelines & infrastructure

• Contribute to our ETL across the stack, helping make it easier to use, more reliable, and clearer when something goes wrong.
• Build and maintain ingestion pipelines from the services we rely on (RevenueCat, Firebase Analytics, attribution providers, ad networks, and others) via API and event streaming.
• Work in our BigQuery warehouse — schema design, Terraform-managed infrastructure, partitioning, and query optimization for a dataset that serves millions of users.
• Develop and maintain GCP Cloud Functions and Cloud Run services for event processing, transformations, and scheduled jobs.
• Help evolve our internal Python framework for shared models, utilities, and pipeline components used across the data codebase.

Analytics & modeling support

• Bring data scientists' and analysts' models into production so they can be consumed reliably by the apps, backend services, and internal tools.
• Build and maintain the data services that power product features such as template recommendations and personalization.
• Support subscription analytics infrastructure: cohorting, LTV, ROAS, retention, and forecasting pipelines across iOS and Android.
• Develop internal libraries and shared SQL/Python primitives for app metrics calculation, used by the broader team.

Data quality, observability & craft

• Help implement monitoring, alerting, and data quality checks so we catch issues before stakeholders do.
• Contribute to lineage and documentation that makes the warehouse navigable for everyone who uses it.
• Support GDPR-compliant data handling, including consent propagation, retention policies, and deletion across systems.
• Help maintain consistency of event schemas and metric definitions across web and mobile platforms.
• Be a contributor to — and over time a champion of — data culture across the company.

You should have

Technical foundations

• Languages: Solid proficiency in Python and SQL. Comfort with TypeScript/NodeJS or similar for service work is a plus, not a requirement.
• Warehousing: Hands-on experience with cloud data warehouses, ideally BigQuery — or strong fundamentals you're ready to transfer.
• Pipelines: Some experience building or contributing to production data pipelines, from ingestion through transformation to serving.
• Cloud infrastructure: Exposure to GCP (or AWS/Azure) is a strong plus. Familiarity with infrastructure as code (e.g. Terraform) is welcome but can be learned on the job.

Mindset & approach

• Curiosity and care for craft: You take pride in the quality of what you ship and want to keep getting better at it.
• Data pipelines owner mindset: You're interested in fully managing data flows from ingestion to processing, even if you haven't done it end-to-end yet.
• Quality and pragmatism: You can work at a healthy pace without compromising the things that matter — clarity, reliability, and correctness.
• Can-do attitude: Self-motivated problem solver with an eye for detail and an internal drive for excellence.

Product & business understanding

• Subscription apps: Experience with or strong interest in subscription-based app businesses and freemium models.
• Cross-platform thinking: Interest in the complexities of unifying data across web, iOS, and Android.
• Analytics-driven approach: Comfortable working closely with analysts and data scientists, and wanting the data layer you build to support the insights the business needs.

Collaboration & communication

• Team player: You work closely and generously with analysts, data scientists, backend, and mobile engineers.
• Clear communication: You can explain what you're working on in a way that makes sense to teammates who don't share your technical background.

We offer

• High-impact role: You'll work on the data platform that powers analytics, forecasting, and AI features for millions of users.
• Room to grow: Take ownership of systems from early on, with support from experienced teammates and the space to develop into broader scope over time.
• Startup environment: Fast-paced decision making with direct impact on product direction.
• Strong team: Work alongside experienced data and engineering professionals in central Stockholm.
• Competitive package: Market-rate salary with opportunities for professional development.
• Creative culture: Be part of a profitable company that values creativity and user experience.

SCRL is a mobile-first design platform built for social media and used by millions of creators worldwide.

We're a team based in central Stockholm, working closely across functions with a shared commitment to quality, clarity, and craft.

The role

This is a role with real impact and plenty of room to grow. You'll join the data team and work on the infrastructure that powers SCRL's analytics, forecasting, and AI-driven product features — from event ingestion all the way to the data services our apps rely on.

We're open to a range of experience levels. If you're earlier in your career, you'll learn alongside experienced data and engineering teammates and grow into broader ownership of the systems you build. If you come in with more experience, you'll have the opportunity to shape the direction of our data infrastructure and raise the bar for what we build next.

Either way, you'll work on real systems with real users — and you'll have the freedom to do the best work of your career.

What you will do

Data pipelines & infrastructure

• Contribute to our ETL across the stack, helping make it easier to use, more reliable, and clearer when something goes wrong.
• Build and maintain ingestion pipelines from the services we rely on (RevenueCat, Firebase Analytics, attribution providers, ad networks, and others) via API and event streaming.
• Work in our BigQuery warehouse — schema design, Terraform-managed infrastructure, partitioning, and query optimization for a dataset that serves millions of users.
• Develop and maintain GCP Cloud Functions and Cloud Run services for event processing, transformations, and scheduled jobs.
• Help evolve our internal Python framework for shared models, utilities, and pipeline components used across the data codebase.

Analytics & modeling support

• Bring data scientists' and analysts' models into production so they can be consumed reliably by the apps, backend services, and internal tools.
• Build and maintain the data services that power product features such as template recommendations and personalization.
• Support subscription analytics infrastructure: cohorting, LTV, ROAS, retention, and forecasting pipelines across iOS and Android.
• Develop internal libraries and shared SQL/Python primitives for app metrics calculation, used by the broader team.

Data quality, observability & craft

• Help implement monitoring, alerting, and data quality checks so we catch issues before stakeholders do.
• Contribute to lineage and documentation that makes the warehouse navigable for everyone who uses it.
• Support GDPR-compliant data handling, including consent propagation, retention policies, and deletion across systems.
• Help maintain consistency of event schemas and metric definitions across web and mobile platforms.
• Be a contributor to — and over time a champion of — data culture across the company.

You should have

Technical foundations

• Languages: Solid proficiency in Python and SQL. Comfort with TypeScript/NodeJS or similar for service work is a plus, not a requirement.
• Warehousing: Hands-on experience with cloud data warehouses, ideally BigQuery — or strong fundamentals you're ready to transfer.
• Pipelines: Some experience building or contributing to production data pipelines, from ingestion through transformation to serving.
• Cloud infrastructure: Exposure to GCP (or AWS/Azure) is a strong plus. Familiarity with infrastructure as code (e.g. Terraform) is welcome but can be learned on the job.

Mindset & approach

• Curiosity and care for craft: You take pride in the quality of what you ship and want to keep getting better at it.
• Data pipelines owner mindset: You're interested in fully managing data flows from ingestion to processing, even if you haven't done it end-to-end yet.
• Quality and pragmatism: You can work at a healthy pace without compromising the things that matter — clarity, reliability, and correctness.
• Can-do attitude: Self-motivated problem solver with an eye for detail and an internal drive for excellence.

Product & business understanding

• Subscription apps: Experience with or strong interest in subscription-based app businesses and freemium models.
• Cross-platform thinking: Interest in the complexities of unifying data across web, iOS, and Android.
• Analytics-driven approach: Comfortable working closely with analysts and data scientists, and wanting the data layer you build to support the insights the business needs.

Collaboration & communication

• Team player: You work closely and generously with analysts, data scientists, backend, and mobile engineers.
• Clear communication: You can explain what you're working on in a way that makes sense to teammates who don't share your technical background.

We offer

• High-impact role: You'll work on the data platform that powers analytics, forecasting, and AI features for millions of users.
• Room to grow: Take ownership of systems from early on, with support from experienced teammates and the space to develop into broader scope over time.
• Startup environment: Fast-paced decision making with direct impact on product direction.
• Strong team: Work alongside experienced data and engineering professionals in central Stockholm.
• Competitive package: Market-rate salary with opportunities for professional development.
• Creative culture: Be part of a profitable company that values creativity and user experience.

Är du en tekniskt skicklig utvecklare inom C# och .NET som drivs av att bygga smarta, molnbaserade lösningar? Trivs du i en miljö med korta beslutsvägar där ditt initiativtagande faktiskt gör skillnad och är intresserad av att på sikt ta dig an en Tech lead roll? Då kan rollen som Backend-utvecklare hos Lexit Group vara helt rätt för dig!

Om Lexit Group

Lexit Group är en ledande skandinavisk leverantör av teknologiska lösningar inom datafångst, digitalisering och industriell märkning. De erbjuder helhetslösningar som kombinerar mjukvara, hårdvara, sensorer och etikettering för att effektivisera processer inom både privat och offentlig sektor. Med starkt fokus på innovation och användarvänlighet utvecklar Lexit Group en marknadsledande SaaS-lösning som säkerställer att system, utrustning och material fungerar sömlöst ihop.

Om tjänsten som Backend-utvecklare

I denna roll blir du en nyckelperson i vårt mindre utvecklingsteam i Göteborg, där du jobbar tätt ihop med en lokal utvecklarkollega och Engineering Manager.

Lexit Group har ett större mjukvaruteam i Norge som leder arbetet. Tillsammans inom bolaget utvecklar och moderniserar Lexit Group affärskritiska lösningar som kopplar samman B2B-handel med deras slutkunder.

AI-driven utveckling

Lexit Groups arbetsflöden utvecklas i en tydlig riktning mot AI-assisterad utveckling och just nu är Claude Code det främsta verktyg. Har du erfarenhet av AI-verktyg eller intresse av att växa in i en roll inom AI är det starkt meriterande.

Dina huvudsakliga arbetsuppgifter:

• Arbeta hands-on med backend-utveckling i C# och .NET

• Vara med och förfina samt vidareutveckla vår molnbaserade arkitektur i Azure med fokus på mikrotjänster och Domain Driven Design.

• Modellera data i EF Core med SQL Server som lagringslösning

• Ta ansvar för kodbasens långsiktiga förvaltning, prestanda och observerbarhet

• Samarbeta med produktägare och kunder kring design av smarta integrationer

• Ha blicken öppen för helheten även om fokus ligger på backend, har du inget emot att arbeta med frontend (Angular) eller app (MAUI) när det behövs

Om dig

För att lyckas i rollen är du en trygg och nyfiken utvecklare som vågar ta egna initiativ och utmana etablerade sanningar för att hitta bästa vägen framåt. Vi söker dig som har hunnit samla på dig erfarenhet från lite olika miljöer och projekt, vilket gör att du har en god förståelse för vad som krävs för att hålla en kodbas ren och långsiktigt hållbar.

Viktigt för tjänsten:

• Minst 5 års erfarenhet av backend-utveckling inom .NET och C#

• God erfarenhet av molnlösningar i Azure

• Erfarenhet från flera olika bolag eller projekt så att du hunnit se olika typer av arkitekturer och arbetssätt

• Flytande svenska och engelska i tal och skrift

Meriterande:

• Erfarenhet av, eller ett stort intresse för, AI-assisterad utveckling, professionellt eller på hobbybasis

• Förståelse för mikrotjänster och Domain Driven Design (DDD)

Övrig information om tjänsten:

• Start: Enligt överenskommelse

• Omfattning: Heltid

• Placering: Göteborg,

• Anställningsform: Tillsvidare, med inledande provanställning

• Arbetsgivare: Lexit Group

Varför Lexit Group?

Lexit Group är ett företag i snabb utveckling där initiativ och idéer värdesätts högt. Här får du verklig påverkan på både produkt och teknikval, i en miljö som premierar lärande och samarbete.

Låter det som något för dig? Tveka på inte på att ansöka så berättar vi gärna mer!

Är du en tekniskt skicklig utvecklare inom C# och .NET som drivs av att bygga smarta, molnbaserade lösningar? Trivs du i en miljö med korta beslutsvägar där ditt initiativtagande faktiskt gör skillnad och är intresserad av att på sikt ta dig an en Tech lead roll? Då kan rollen som Backend-utvecklare hos Lexit Group vara helt rätt för dig!

Om Lexit Group

Lexit Group är en ledande skandinavisk leverantör av teknologiska lösningar inom datafångst, digitalisering och industriell märkning. De erbjuder helhetslösningar som kombinerar mjukvara, hårdvara, sensorer och etikettering för att effektivisera processer inom både privat och offentlig sektor. Med starkt fokus på innovation och användarvänlighet utvecklar Lexit Group en marknadsledande SaaS-lösning som säkerställer att system, utrustning och material fungerar sömlöst ihop.

Om tjänsten som Backend-utvecklare

I denna roll blir du en nyckelperson i vårt mindre utvecklingsteam i Göteborg, där du jobbar tätt ihop med en lokal utvecklarkollega och Engineering Manager.

Lexit Group har ett större mjukvaruteam i Norge som leder arbetet. Tillsammans inom bolaget utvecklar och moderniserar Lexit Group affärskritiska lösningar som kopplar samman B2B-handel med deras slutkunder.

AI-driven utveckling

Lexit Groups arbetsflöden utvecklas i en tydlig riktning mot AI-assisterad utveckling och just nu är Claude Code det främsta verktyg. Har du erfarenhet av AI-verktyg eller intresse av att växa in i en roll inom AI är det starkt meriterande.

Dina huvudsakliga arbetsuppgifter:

• Arbeta hands-on med backend-utveckling i C# och .NET

• Vara med och förfina samt vidareutveckla vår molnbaserade arkitektur i Azure med fokus på mikrotjänster och Domain Driven Design.

• Modellera data i EF Core med SQL Server som lagringslösning

• Ta ansvar för kodbasens långsiktiga förvaltning, prestanda och observerbarhet

• Samarbeta med produktägare och kunder kring design av smarta integrationer

• Ha blicken öppen för helheten även om fokus ligger på backend, har du inget emot att arbeta med frontend (Angular) eller app (MAUI) när det behövs

Om dig

För att lyckas i rollen är du en trygg och nyfiken utvecklare som vågar ta egna initiativ och utmana etablerade sanningar för att hitta bästa vägen framåt. Vi söker dig som har hunnit samla på dig erfarenhet från lite olika miljöer och projekt, vilket gör att du har en god förståelse för vad som krävs för att hålla en kodbas ren och långsiktigt hållbar.

Viktigt för tjänsten:

• Minst 5 års erfarenhet av backend-utveckling inom .NET och C#

• God erfarenhet av molnlösningar i Azure

• Erfarenhet från flera olika bolag eller projekt så att du hunnit se olika typer av arkitekturer och arbetssätt

• Flytande svenska och engelska i tal och skrift

Meriterande:

• Erfarenhet av, eller ett stort intresse för, AI-assisterad utveckling, professionellt eller på hobbybasis

• Förståelse för mikrotjänster och Domain Driven Design (DDD)

Övrig information om tjänsten:

• Start: Enligt överenskommelse

• Omfattning: Heltid

• Placering: Göteborg,

• Anställningsform: Tillsvidare, med inledande provanställning

• Arbetsgivare: Lexit Group

Varför Lexit Group?

Lexit Group är ett företag i snabb utveckling där initiativ och idéer värdesätts högt. Här får du verklig påverkan på både produkt och teknikval, i en miljö som premierar lärande och samarbete.

Låter det som något för dig? Tveka på inte på att ansöka så berättar vi gärna mer!

Är du en tekniskt skicklig utvecklare inom C# och .NET som drivs av att bygga smarta, molnbaserade lösningar? Trivs du i en miljö med korta beslutsvägar där ditt initiativtagande faktiskt gör skillnad och är intresserad av att på sikt ta dig an en Tech lead roll? Då kan rollen som Backend-utvecklare hos Lexit Group vara helt rätt för dig!

Om Lexit Group

Lexit Group är en ledande skandinavisk leverantör av teknologiska lösningar inom datafångst, digitalisering och industriell märkning. De erbjuder helhetslösningar som kombinerar mjukvara, hårdvara, sensorer och etikettering för att effektivisera processer inom både privat och offentlig sektor. Med starkt fokus på innovation och användarvänlighet utvecklar Lexit Group en marknadsledande SaaS-lösning som säkerställer att system, utrustning och material fungerar sömlöst ihop.

Om tjänsten som Backend-utvecklare

I denna roll blir du en nyckelperson i vårt mindre utvecklingsteam i Göteborg, där du jobbar tätt ihop med en lokal utvecklarkollega och Engineering Manager.

Lexit Group har ett större mjukvaruteam i Norge som leder arbetet. Tillsammans inom bolaget utvecklar och moderniserar Lexit Group affärskritiska lösningar som kopplar samman B2B-handel med deras slutkunder.

AI-driven utveckling

Lexit Groups arbetsflöden utvecklas i en tydlig riktning mot AI-assisterad utveckling och just nu är Claude Code det främsta verktyg. Har du erfarenhet av AI-verktyg eller intresse av att växa in i en roll inom AI är det starkt meriterande.

Dina huvudsakliga arbetsuppgifter:

• Arbeta hands-on med backend-utveckling i C# och .NET

• Vara med och förfina samt vidareutveckla vår molnbaserade arkitektur i Azure med fokus på mikrotjänster och Domain Driven Design.

• Modellera data i EF Core med SQL Server som lagringslösning

• Ta ansvar för kodbasens långsiktiga förvaltning, prestanda och observerbarhet

• Samarbeta med produktägare och kunder kring design av smarta integrationer

• Ha blicken öppen för helheten även om fokus ligger på backend, har du inget emot att arbeta med frontend (Angular) eller app (MAUI) när det behövs

Om dig

För att lyckas i rollen är du en trygg och nyfiken utvecklare som vågar ta egna initiativ och utmana etablerade sanningar för att hitta bästa vägen framåt. Vi söker dig som har hunnit samla på dig erfarenhet från lite olika miljöer och projekt, vilket gör att du har en god förståelse för vad som krävs för att hålla en kodbas ren och långsiktigt hållbar.

Viktigt för tjänsten:

• Minst 5 års erfarenhet av backend-utveckling inom .NET och C#

• God erfarenhet av molnlösningar i Azure

• Erfarenhet från flera olika bolag eller projekt så att du hunnit se olika typer av arkitekturer och arbetssätt

• Flytande svenska och engelska i tal och skrift

Meriterande:

• Erfarenhet av, eller ett stort intresse för, AI-assisterad utveckling, professionellt eller på hobbybasis

• Förståelse för mikrotjänster och Domain Driven Design (DDD)

Övrig information om tjänsten:

• Start: Enligt överenskommelse

• Omfattning: Heltid

• Placering: Göteborg,

• Anställningsform: Tillsvidare, med inledande provanställning

• Arbetsgivare: Lexit Group

Varför Lexit Group?

Lexit Group är ett företag i snabb utveckling där initiativ och idéer värdesätts högt. Här får du verklig påverkan på både produkt och teknikval, i en miljö som premierar lärande och samarbete.

Låter det som något för dig? Tveka på inte på att ansöka så berättar vi gärna mer!