Senior Data Engineer

What will you do?

• You'll strategize and iterate on the design of our database architecture, focusing on accuracy, scalability, reliability, usability, performance, and cost efficiency.
• You'll lead the design and implementation of robust and resilient data pipelines from a diverse set of source data by collaborating with product, engineering, and business stakeholders.
• You'll mentor data team members by providing technical guidance and championing engineering best practices, security protocols, optimized performance, and data warehouse design.
• You'll collaborate with engineering teams to ensure quality data in source systems and foster a culture of data excellence.

We might be a match if you…

• Have 7+ years industry experience, including 4+ years in a senior Data Engineering role architecting and implementing large-scale enterprise data solutions.
• Have expertise in SQL and strong proficiency in at least one major development language (Python or JavaScript preferred).
• Are a technical expert in the data space who questions the status quo, thrives on tackling complex data challenges, and uses challenges as an opportunity to drive innovative solutions across domains.
• Demonstrates a track record of creating significant impact by leading projects to improve data quality and optimization.
• Have superior ability to independently translate business needs into clearly aligned project requirements, technical designs, and reliable project outcomes.
• Focuses on the big picture and demonstrates good judgement, making technical trade-offs between short-term and long-term solutions.
• Are exceptional communicator who fosters a collaborative environment, and inspires and mentors' junior engineers.
• Are competent understanding and application of domain driven database design principles.
• Have excellent verbal and written communication skills including the ability to present complex technical ideas in simple terms.
• Have product mindset to understand business needs, continuously align on project outcomes, and implement scalable engineering solutions within committed timelines.
• Have proven track record of solving complex data engineering challenges in multiple companies and many domains, employing innovative or novel solutions.
• Have experience with cloud platforms (e.g., AWS, GCP, Azure).
• Have a very good command of English (written & spoken).
• Are available in the afternoons / evenings - due to collaboration with the United States, evening meetings may occur. Rest assured, we prioritize work-life fit, respect everyone's private lives, and don’t work at night but we still must ensure that communication between the time zones is effective.


You will get extra points for:
• Experience with DBT, Airflow, Bigquery. 
• Experience with Salesforce data or actuarial insurance.

Recruitment process:

• Send us your CV – it's the best way for us to get to know you.
• Meet Ola, one of our Recruiters.
• Meet Avi (Engineering Leadership Interview).
• Technical Interview - let's talk about your technical knowledge :)
• Meet Laura (Manager interview).
• Meet on the final stage with Marcin and Alicja.
• and... welcome aboard! 👋