Senior Data Engineer
What else?
About the role:
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 – we prioritize everyone’s personal time and work-life fit, but since we work in multinational teams, occasional evening meetings may be necessary to ensure smooth communication across time zones.
 - Experience with DBT, Airflow, Bigquery.
 - Experience with Salesforce data or actuarial insurance.
 
You will get extra points for:
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!
 
What benefits are waiting for you?
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Originally posted on Himalayas
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