Senior Data Engineering Manager

We are a Polish branch of a fast-growing InsurTech product company from Silicon Valley - Hippo Insurance. Our mission is to revolutionize home insurance in the US, starting from IoT monitoring devices to our industry-leading software.  How do we want to get there? We need a top-notch talent, just like you!  Putting a lot of effort into hiring top-tier professionals, is a proof that we care a lot about tech experience, the attitude, human approach, and what we could call „culture fit”. „SwingDev is all about people” - yes, it may sound a bit cliche. But whether we're writing code or just hanging out, we know that people are at the heart of everything we do. We like to have a good time and keep things light, even when we're tackling big projects. We could brag about what’s making us special, but we’ve boiled it down to two key ingredients: mature, companionable people who, rather than compete, prefer to inspire and have each other’s backs; a culture of trust, empathy, and positivity that keeps us together, lets us interact as teammates and friends, and truly enjoy the ride. About the role: We're seeing an experienced Senior Data Engineering Manager who thrives on empowering teams, driving data excellence, en enabling data-driven decision-making across an organization. This leader will directly manage a team of skilled data engineers, fostering a collaborative and innovative environment focused on delivering scalable, reliable, and high-quality data solutions. This role involves close collaboration with both our Poland and US teams. While your calendar is flexible and you’re free to organize your day in a way that works best for you, frequent availability for meetings with the US team (typically in the evening hours Poland time) is expected. What will you do?

You'll directly manage a team of data engineers, providing guidance, mentorship, and fostering a culture of continuous learning and technical excellence.

You'll collaborate closely with BI engineering and data platform teams to deliver scalable and reliable data solutions.

You'll lead initiatives to improve data accessibility, ensuring data is easy to understand and actionable for business stakeholders.

You'll develop and execute plans to enhance data quality, security, and governance, aligning with business needs and regulatory requirements.

You'll partner with engineering, product, and business teams to define and prioritize projects that enable data-driven decision-making.

You'll drive efforts to make data a strategic asset for the company, enabling critical decision-making capabilities for 2025 and beyond.

We might be a match if you…

Have a strong technical background in data engineering with a track record of making and guiding technical decisions.

Bring hands-on expertise in data architecture, ETL processes, and designing scalable data pipelines.

Are proficient in modern data stack tools and technologies, including cloud platforms (AWS, GCP, Azure), data lakes, and data warehouses like Snowflake or BigQuery.

Balance strategic vision with the ability to dive into hands-on work when needed.

Excel in verbal and written communication, effectively explaining complex technical concepts to both technical and non-technical audiences.

Are skilled at leading teams, including those with highly senior individual contributors.

Have experience mentoring data engineers and helping them enhance their technical skills and decision-making abilities.

Possess experience with distributed systems and large-scale data processing frameworks such as Spark or Flink.

Are available to work also in the US timezone (PL evenings).

Previous experience working in fast-paced, enterprise-level environments with cross-functional teams. 

Knowledge of machine learning pipelines or integrating analytics/BI tools into data workflows. 

Recruitment process:

Send us your CV – it's the best way for us to get to know you.

Meet Katrina, one of our Recruiters – she'll be your first point of contact.

Meet Michał & Tomek – you'll get to know some of the team and how we work.

Engineering Leadership Interview – time to chat with Tal & Avi about our engineering vision.

Final Interview – meet Marcin and Alicja for the last step of the process.

and finally... welcome aboard! 👋