Analytics Engineer / DWH Engineer - Mid / Senior

Summary

Join Docplanner Tech as an Analytics Engineer and contribute to building a robust data platform that empowers data analytics teams across the organization. You will be responsible for designing, developing, and maintaining data models, ensuring data quality and accessibility, and acting as a consultant to analytics teams. The role involves working with cutting-edge technologies like dbt, Data Vault, and cloud platforms, while collaborating with a diverse team of data professionals. Docplanner offers a remote-friendly work environment, competitive compensation, and comprehensive benefits, including health insurance, flexible working hours, and professional development opportunities.

Requirements

• 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

Responsibilities

• 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
• 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

Preferred Qualifications

• Hands-on experience with dbt in large-scale deployments
• Knowledge of Spark and Scala language are nice to have
• Aligned with our stack (e.g.: AWS ecosystem, Redshift, S3, Tableau, Superset)
• Infrastructure knowledge: Docker, Terraform, Kubernetes, Helm

Benefits

• A salary adequate to your experience and skills
• Share options plan after 6 months of working with us
• 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