Data Engineer in Data Product Engineering

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

Do you want to play a key role in building a modern data platform that enables analytics and AI at enterprise scale? We are looking for a Senior Data Engineer with deep Databricks expertise to join a high-performing platform team. This is an opportunity to combine hands-on engineering with platform development, architecture, and technical enablement in an environment where you'll have a real impact on both technology and ways of working. About the Role As part of a central platform team, you will help build and evolve a modern cloud-based data platform used by multiple development teams. This is not a traditional Data Engineer role focused solely on pipelines—you will contribute to creating reusable frameworks, improving the developer experience, and enabling other teams to succeed. Your responsibilities will include: Developing and improving data ingestion and data product frameworks. Designing and implementing scalable data governance and access control using Unity Catalog. Acting as the go-to Databricks expert, supporting and coaching development teams. Evaluating and introducing new Databricks capabilities to continuously improve the platform. Contributing to a scalable, secure, and user-friendly platform for data, analytics, and AI. We Believe You Have Several years of experience working as a Data Engineer with Databricks in production environments. Strong expertise in Apache Spark, Python, and SQL. Experience with Unity Catalog, data governance, and modern data platform architecture. A background in building reusable frameworks and platform components. The ability to collaborate with engineers, architects, and stakeholders across different teams. Strong communication skills and a passion for knowledge sharing and technical coaching. Experience with AWS, CI/CD, Databricks Asset Bundles, Lakeflow, Auto Loader, and Databricks certifications is considered an advantage. Who You Are You're a collaborative and curious engineer who enjoys solving complex technical challenges while helping others succeed. You take ownership, think long-term, and thrive in environments where you can influence both technical direction and engineering practices. What We Offer A key role in shaping a modern enterprise data platform. The opportunity to work with the latest technologies in Databricks, cloud, data engineering, and AI. A collaborative environment with highly skilled colleagues and short decision-making paths. Significant technical ownership and the opportunity to make a lasting impact. Interested in learning more? Get in touch with us. We'd love to hear from you and tell you more about the opportunity to join an organization where technology, continuous learning, and innovation are at the heart of everything we do. This recruitment is managed by EdZa Group. If you have any questions about the role or the recruitment process, please don't hesitate to contact tyra.nguyen@edzagroup.se.