Data Architect

Minimum 5 years of experience in designing and building Business Intelligence, ETL/ELT, Data Warehouse, Data Lake, Big Data solutions

Practical knowledge of various relational (e.g. SQL Server/SQL Database, Oracle, Redshift, PostgreSQL) and non-relational (e.g. MongoDB, CosmosDB, DynamoDB, Neo4j) database engines

Very good knowledge of SQL and Python (min. 5 years' experience)

Knowledge of process orchestration and data processing solutions, in particular: Spark/Databricks (including structured streaming mechanisms, Delta Lake, etc.), Snowflake, Azure Data Factory, Apache Airflow, dbt

Understanding of the following areas: data governance, data quality, data visualisation

Data modelling skills (Star schema / Lakehouse / Medallion / Data Vault / Data Mesh / Common Data Model / Corporate Data Model)

Advanced skills in the use of git repositories (Bitbucket/GitHub)

Familiarity and experience with data services offered by the Azure and/or AWS platform

Flexibility, self-reliance and efficiency in action, as well as responsibility for assigned tasks

Practical knowledge of English at a level of min. B2 (C1+ preferred)

Coming up with improvement initiatives in existing solutions and designing new solutions

Coordinating architectural arrangements with Architects on the client side and other vendors

Optimisation of the production process through process and tool changes

Coordinating the work of a team of Data Engineers (responsible for the development of data platforms and ETL/ELT processes) and Data Analysts (responsible for the data model and report development) on the BitPeak side across multiple projects running in parallel for the same client; working closely with Project Managers

Enforcing and improving platform development standards, as well as setting them (where gaps are identified)

Ensuring quality of delivered solutions, conducting code review

Working "at the grassroots" as Data Engineer and Data Analyst (to stay in touch with the technology)

Keeping up to date with current trends, tools, services in the Data area

Global projects in multiple clouds - we work with clients from all over the world based on modern cloud technologies

Certification reimbursement - we fund exams, Microsoft certifications, AWS, Databricks, Snowflake

Learning time - 60 paid hours per year

Flexible approach - you can choose to work from home or meet at our offices

Personalised benefits - medical care, subsidised sports packages, language tuition, new employee referral bonus (up to PLN 15,000) as well as annual and media bonuses