Project information:

• Location of office: Warsaw
• Mode of work: 100% remote
• Type of employment: B2B contract
• Rate: up to 180 PLN NET/H
• Project language: English (min B2)

Responsibilities:

• Designing new solutions and coming up with initiatives for improvements to existing solutions within data platforms - both as part of orders coming from the business (functional changes) and from technology (architectural changes)

• Development of data platforms and ETL/ELT processes: technical support and active participation in the development of data platforms.

• Work on building and optimizing ETL/ELT processes that are responsible for processing large data sets.
• Implement processes to ensure optimal data processing

• Standardize and streamline technical processes: implementing and optimizing code, test and documentation management standards

• Selecting and configuring tools and development environments that support data engineering processes to maintain code quality and facilitate code scaling

• Ensure standards compliance and code review: responsible for applying existing platform development standards and monitoring the quality of delivered solutions

• Work directly with technology as a Data Engineer and Data Analyst to maintain a high level of technology sophistication, understand current challenges, and drive improvements based on actual technical need

• Act as a mentor to the team, providing subject matter support in the areas of solution design, code standardization, process optimization and best practice implementation

Requirements:

• Minimum 5 years of experience in designing and building Business Intelligence, ETL/ELT, Data Warehouse, Data Lake, Data Lakehouse, Big Data, OLAP class solutions
• Practical knowledge of various relational (e.g., SQL Server, Oracle, Redshift, PostgreSQL, Teradata) and non-relational database engines (e.g., MongoDB, Cosmos DB, DynamoDB, Neo4j, HBase, Redis, InfluxDB)
• Strong proficiency in SQL and Python (minimum 5 years of experience)
• Familiarity with data engineering and orchestration tools, particularly Spark/Databricks (including structured streaming mechanisms, DLT, etc.), Hadoop/CDP, Azure/Fabric Data Factory, Apache Flink, Apache Kafka, Apache Airflow, dbt, Debezium, and more
• Understanding of data governance, data quality, and batch/streaming data processing challenges
• Knowledge of architectural patterns in data, including Data Mesh, Data Vault, Dimensional Modeling, Medallion Architecture, and Lambda/Kappa Architectures
• Proficiency in using git repositories (Bitbucket, GitHub, GitLab)
• Experience with data services on the Azure and/or AWS platforms
• Flexibility, self-reliance, and efficiency, with a strong sense of responsibility for assigned tasks
• Practical knowledge of English at a minimum B2 level (C1+ preferred)

We offer:

• B2B contract with salary range up to 180 PLN NET/H
• 100% remote job
• Opportunity to be involved in global projects
• Additional benefits
• Trainings and certification budget- (Microsoft certifications, AWS, Databricks)
• Learning time - 60 paid hours per year