Senior Data Engineer

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?

• 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

• 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

• Strong analytical mindset, problem-solving skills, and the ability to clearly communicate complex data concepts to both

technical and non-technical stakeholders

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.