Senior Data Engineer

<p><strong>Providing Value & Impact - SwedQ.</strong></p><p>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.</p><p>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.</p><p></p><p><strong>What's in it for you?</strong><br>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.</p><p>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?</p><p></p><p><strong>Who are you:</strong></p><ul><li><p>At least 5 years of hands-on experience building, owning, and operating production-grade data pipelines in complex, data-intensive environments</p></li><li style="font-style:normal;font-weight:400;letter-spacing:normal;text-indent:0px;white-space:normal;text-decoration:none;color:rgb(0, 0, 0);"><p>Strong experience designing and evolving batch-based ETL / ELT pipelines that power externally facing analytics products and dashboards used at scale</p></li><li style="font-style:normal;font-weight:400;letter-spacing:normal;text-indent:0px;white-space:normal;text-decoration:none;color:rgb(0, 0, 0);"><p>Proven ability to transform raw event- and transaction-level data into trusted, business-critical KPIs, including funnel metrics, performance indicators, and customer insights</p></li><li style="font-style:normal;font-weight:400;letter-spacing:normal;text-indent:0px;white-space:normal;text-decoration:none;color:rgb(0, 0, 0);"><p>Deep expertise in Python and advanced SQL, with a strong focus on analytical queries, feature engineering, and correctness at scale</p></li><li style="font-style:normal;font-weight:400;letter-spacing:normal;text-indent:0px;white-space:normal;text-decoration:none;color:rgb(0, 0, 0);"><p>Experience automating and standardizing reporting workflows, replacing manual or semi-automated processes with robust, maintainable data products</p></li><li style="font-style:normal;font-weight:400;letter-spacing:normal;text-indent:0px;white-space:normal;text-decoration:none;color:rgb(0, 0, 0);"><p>Strong understanding of data modeling, schema evolution, metric definitions, and data quality in analytical data warehouse environments</p></li><li style="font-style:normal;font-weight:400;letter-spacing:normal;text-indent:0px;white-space:normal;text-decoration:none;color:rgb(0, 0, 0);"><p>Hands-on experience optimizing SQL-heavy pipelines, removing unnecessary transformation layers, and improving end-to-end data efficiency</p></li><li style="font-style:normal;font-weight:400;letter-spacing:normal;text-indent:0px;white-space:normal;text-decoration:none;color:rgb(0, 0, 0);"><p>Experience collaborating closely with Product Analytics, Data Modeling, and Product Engineering teams to translate business needs into scalable technical solutions</p></li><li style="font-style:normal;font-weight:400;letter-spacing:normal;text-indent:0px;white-space:normal;text-decoration:none;color:rgb(0, 0, 0);"><p>Familiarity with workflow orchestration and dependency management using tools such as Airflow (or equivalent schedulers)</p></li><li style="font-style:normal;font-weight:400;letter-spacing:normal;text-indent:0px;white-space:normal;text-decoration:none;color:rgb(0, 0, 0);"><p>Experience working with batch and ELT-style pipeline patterns in modern data platforms</p></li><li style="font-style:normal;font-weight:400;letter-spacing:normal;text-indent:0px;white-space:normal;text-decoration:none;color:rgb(0, 0, 0);"><p>Solid hands-on experience with AWS (e.g. S3, Redshift, IAM) and analytical data warehouses such as Redshift or similar</p></li><li style="font-style:normal;font-weight:400;letter-spacing:normal;text-indent:0px;white-space:normal;text-decoration:none;color:rgb(0, 0, 0);"><p>Experience with CI/CD and production deployment best practices for data systems (e.g. Jenkins, Git-based workflows)</p></li><li style="font-style:normal;font-weight:400;letter-spacing:normal;text-indent:0px;white-space:normal;text-decoration:none;color:rgb(0, 0, 0);"><p>Ability to take strong ownership of mission-critical data products, with a clear focus on reliability, scalability, and long-term maintainability</p></li><li style="font-style:normal;font-weight:400;letter-spacing:normal;text-indent:0px;white-space:normal;text-decor