Senior Data Engineer
SwedQ AB
📍 Stockholm
⏰ Heltid
📋 Vanlig anställning
🗓 Ansök senast 17 augusti 2026
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Providing Value & Impact - SwedQ.
SwedQ is a consultancy company that has lately proven to have a unique model for those who want to grow, create a legacy, and take on challenges that both add and gain value. Year after year, we have managed to serve clients within a wide range of industries (intentionally excluding gambling and weaponry). During this time, we have also grown steadily—in revenue, in team size, and in the impact of our deliveries.
We are looking for someone who wants to be part of the company in a literal sense. That means taking on the technical challenges as well as getting a portion of the company in the future. If you would like, you can also drive your own ideas forward and implement them with us. You’ll be working closely with everyone here, which makes it easy to bring change and act on what you believe in.
What's in it for you? The question goes back to you: what do you want (with common sense or not)? Some people value fixed salaries, pensions, and stability. Others want a bigger share of the pie and are ready to share the risks. Let’s talk that through. One thing is certain—we’ll make sure you find your “it,” whether that’s with us in-house or with our clients.
We’ll shape the role to fit both your needs and ours. The good thing? You will be surrounded by people who are technically savvy, giving you plenty of opportunities to teach and learn. And if not technically, then perhaps in entrepreneurship. We know - it’s a lot of questions. That’s why we have interviews, right?
Who are you:
At least 5 years of hands-on experience building, owning, and operating production-grade data pipelines in complex, data-intensive environments
Strong experience designing and evolving batch-based ETL / ELT pipelines that power externally facing analytics products and dashboards used at scale
Proven ability to transform raw event- and transaction-level data into trusted, business-critical KPIs, including funnel metrics, performance indicators, and customer insights
Deep expertise in Python and advanced SQL, with a strong focus on analytical queries, feature engineering, and correctness at scale
Experience automating and standardizing reporting workflows, replacing manual or semi-automated processes with robust, maintainable data products
Strong understanding of data modeling, schema evolution, metric definitions, and data quality in analytical data warehouse environments
Hands-on experience optimizing SQL-heavy pipelines, removing unnecessary transformation layers, and improving end-to-end data efficiency
Experience collaborating closely with Product Analytics, Data Modeling, and Product Engineering teams to translate business needs into scalable technical solutions
Familiarity with workflow orchestration and dependency management using tools such as Airflow (or equivalent schedulers)
Experience working with batch and ELT-style pipeline patterns in modern data platforms
Solid hands-on experience with AWS (e.g. S3, Redshift, IAM) and analytical data warehouses such as Redshift or similar
Experience with CI/CD and production deployment best practices for data systems (e.g. Jenkins, Git-based workflows)
Ability to take strong ownership of mission-critical data products, with a clear focus on reliability, scalability, and long-term maintainability
Interest in building data platforms that go beyond reporting — enabling trend analysis, behavioral insights, performance measurement, and data-driven recommendations
Experience from fintech, payments, or other regulated environments is a strong plus
Strong analytical mindset, problem-solving skills, and the ability to clearly communicate complex data concepts to both technical and non-technical stakeholders
Experience with basic front-end or visualization technologies (e.g. React) is a nice-to-have
Fluent in English and Swedish
SwedQ culture SwedQ began with siblings who brought in people they knew. Those people recommended friends, and from there, the company grew further through open head-hunting. Over time, we’ve built a diverse team with different backgrounds, experiences, and insights.
We made sure to amplify this diversity by embracing independence and accountability while driving value-creating work. At the same time, we make sure to have fun—with epic football tournaments, unforgettable trips, and great dinners.
Perks & Benefits
Competitive salary—you decide your preferred salary model
Budget to spend on health and gym
Generous developer budget
Monthly payments into your additional pension fund
Private health insurance
Private healthcare
Office in the city – a stone’s throw from public transport and lunch restaurants
Breakfast in the SwedQ office EVERYDAY
Support for open-source projects and community engagement
Kick-ass colleagues and mentors at every corner
Company car (or car allowance)
Benefits to make life easier—home cleaning, childcare, and more
SwedQ is a consultancy company that has lately proven to have a unique model for those who want to grow, create a legacy, and take on challenges that both add and gain value. Year after year, we have managed to serve clients within a wide range of industries (intentionally excluding gambling and weaponry). During this time, we have also grown steadily—in revenue, in team size, and in the impact of our deliveries.
We are looking for someone who wants to be part of the company in a literal sense. That means taking on the technical challenges as well as getting a portion of the company in the future. If you would like, you can also drive your own ideas forward and implement them with us. You’ll be working closely with everyone here, which makes it easy to bring change and act on what you believe in.
What's in it for you? The question goes back to you: what do you want (with common sense or not)? Some people value fixed salaries, pensions, and stability. Others want a bigger share of the pie and are ready to share the risks. Let’s talk that through. One thing is certain—we’ll make sure you find your “it,” whether that’s with us in-house or with our clients.
We’ll shape the role to fit both your needs and ours. The good thing? You will be surrounded by people who are technically savvy, giving you plenty of opportunities to teach and learn. And if not technically, then perhaps in entrepreneurship. We know - it’s a lot of questions. That’s why we have interviews, right?
Who are you:
At least 5 years of hands-on experience building, owning, and operating production-grade data pipelines in complex, data-intensive environments
Strong experience designing and evolving batch-based ETL / ELT pipelines that power externally facing analytics products and dashboards used at scale
Proven ability to transform raw event- and transaction-level data into trusted, business-critical KPIs, including funnel metrics, performance indicators, and customer insights
Deep expertise in Python and advanced SQL, with a strong focus on analytical queries, feature engineering, and correctness at scale
Experience automating and standardizing reporting workflows, replacing manual or semi-automated processes with robust, maintainable data products
Strong understanding of data modeling, schema evolution, metric definitions, and data quality in analytical data warehouse environments
Hands-on experience optimizing SQL-heavy pipelines, removing unnecessary transformation layers, and improving end-to-end data efficiency
Experience collaborating closely with Product Analytics, Data Modeling, and Product Engineering teams to translate business needs into scalable technical solutions
Familiarity with workflow orchestration and dependency management using tools such as Airflow (or equivalent schedulers)
Experience working with batch and ELT-style pipeline patterns in modern data platforms
Solid hands-on experience with AWS (e.g. S3, Redshift, IAM) and analytical data warehouses such as Redshift or similar
Experience with CI/CD and production deployment best practices for data systems (e.g. Jenkins, Git-based workflows)
Ability to take strong ownership of mission-critical data products, with a clear focus on reliability, scalability, and long-term maintainability
Interest in building data platforms that go beyond reporting — enabling trend analysis, behavioral insights, performance measurement, and data-driven recommendations
Experience from fintech, payments, or other regulated environments is a strong plus
Strong analytical mindset, problem-solving skills, and the ability to clearly communicate complex data concepts to both technical and non-technical stakeholders
Experience with basic front-end or visualization technologies (e.g. React) is a nice-to-have
Fluent in English and Swedish
SwedQ culture SwedQ began with siblings who brought in people they knew. Those people recommended friends, and from there, the company grew further through open head-hunting. Over time, we’ve built a diverse team with different backgrounds, experiences, and insights.
We made sure to amplify this diversity by embracing independence and accountability while driving value-creating work. At the same time, we make sure to have fun—with epic football tournaments, unforgettable trips, and great dinners.
Perks & Benefits
Competitive salary—you decide your preferred salary model
Budget to spend on health and gym
Generous developer budget
Monthly payments into your additional pension fund
Private health insurance
Private healthcare
Office in the city – a stone’s throw from public transport and lunch restaurants
Breakfast in the SwedQ office EVERYDAY
Support for open-source projects and community engagement
Kick-ass colleagues and mentors at every corner
Company car (or car allowance)
Benefits to make life easier—home cleaning, childcare, and more