Analytics Engineer

<h3>📋 Description</h3> • Data Platform as a product • You will build a platform for data analytics teams to create and maintain their data models according to best practices and state-of-the-art technologies, in detail: • Build, automate and assure the quality of data products in cooperation with analysts and data engineers. • Own and improve the DWH data model, making it more accessible and easier to use. • Own and maintain the DWH cluster. • Apply expertise in dbt, data domainisation, and Data Vault. • Enabling data analytics in the organization • Acting as a product owner and consultant to data analytics teams, you will ensure the platform's success through proper adoption, engagement, and result, meaning: • Collaborate with analytics teams on building data models for different business areas. • Assure technical guidelines and a big picture view. • Support teams to own their data models and gain autonomy. • Advocate for best practices in data engineering and analytics, ex. by leading workshops and training. • Align data initiatives with business goals. • Proactively communicate with internal stakeholders. <h3>🎯 Requirements</h3> • Extensional experience connected with data warehousing and/or database administration. • Expert in SQL, particularly in query optimization and database design. • Strong skills in Python and SQL , following good coding practices. • Strong data modeling skills (you can name at least five differences between Kimball and Inmon :)) • Deep knowledge of BI, data modeling techniques, and trends (e.g., Data Vault, Kimball, Data Mesh). • Strong project management skills and experience managing projects end-to-end, ensuring timely delivery and alignment with business goals. • Excellent communication and interpersonal skills. • Growth mindset: nobody ticks all those boxes above, but a willingness to learn is strongly valued here. • Hands-on experience with orchestrators like Airflow* or Dagster. • Ability to work collaboratively and adopt code versioning best practices (git). • Hands-on experience with cloud technologies and ETL/ELT tools (one among AWS, GPC, Azure, dbt, dagster, airflow, Luigi). • Good level of English. <h3>🏖️ Benefits</h3> • Share options plan after 6 months of working with us. • True flexibility and work-life balance • Remote or hybrid work model with or hub in Warsaw; • Flexible working hours (fully flexible, as in most cases you only have to be on a couple of meetings weekly); • 20/26 days of paid time off (depending on your contract); • Additional paid day off on your birthday or work anniversary (you choose what you want to celebrate). • Private healthcare plan with Signal Iduna for you and subsidized for your family. • Multisport card co-financing for you to have access to sports facilities across Poland. • Access to iFeel , a technological platform for mental wellness offering online psychological support and counseling. • Free English classes.