In Cyclad we work with top international IT companies to boost their potential in delivering outstanding, cutting-edge technologies that shape the world of the future. We are seeking a Senior Data Engineer for our clients and collaborate with project teams responsible for developing advanced Data Lakehouse, Business Intelligence, and Advanced Analytics solutions in cloud environments. Working in an international setting, they will specialize in the latest technologies in this field.

Project information:

• Office Location: Warsaw, Poland
• Remote work: 100% Remote
• Budget: 180 PLN/net/h + VAT on B2B
• Start date: ASAP/ depending on candidate's availability

Project scope:

• 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, using data engineering best practices
• 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, initiating new guidelines where improvements are needed, and monitoring the quality of delivered solutions by conducting regular code-reviews
• 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 needs
• 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, particularlySpark/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:

• Global projects in clouds - we work with clients from all over the world based on modern cloud technologies
• Certification reimbursement - we fund exams, Microsoft certifications, AWS, Databricks
• Learning time - 60 paid hours per year
• Flexible approach - the choice between working from home or meeting at our offices
• Personalized benefits - medical care, subsidized sports packages, language tuition, new employee referral bonus (up to PLN 15,000) as well as annual and media bonuses