Senior Data Engineer

Job Title

Responsibilities

Develop, operate, optimize, test, and maintain the data warehouse, including ETL/ELT process development, cube development, database/performance administration, and dimensional table design

Drive the full life-cycle of back-end development for the data warehouse

Identify, design, and implement internal process improvements - redesigning infrastructure for scalability, optimizing data delivery, and automating manual processes

Define data retention policies

Build analytical tools that leverage the data pipeline to deliver actionable insight into key business metrics (operational efficiency, customer acquisition, etc.)

Select and integrate tools for monitoring, managing, alerting on, and improving database performance

Develop and implement automated processes to ensure uninterrupted database updates and correction of vulnerabilities

Assemble large, complex datasets that meet functional and non-functional business requirements

Requirements

5+ years of experience or 5+ completed projects

Advanced SQL and query optimization, with proficiency across popular database variations

Python for data engineering and automation

Cloud data platforms: Snowflake and/or Databricks

Cloud services: AWS and/or Azure

Data transformation and modeling with DBT

ETL/ELT pipeline design, development, and maintenance

Apache Spark (PySpark preferred)

Workflow orchestration using Apache Airflow, Dagster, or another widely adopted orchestrator

Relational database design and performance tuning (PostgreSQL, MySQL, SQL Server, Oracle, etc.)

Data warehousing concepts and dimensional modeling

Data management fundamentals: data modeling, data quality, metadata management, data warehouse/lake patterns, distributed systems

Version control using Git and CI/CD practices

Data governance, data quality, lineage, and observability practices

Security and access control implementation in cloud data platforms

Nice to have

Apache Kafka, Apache Flink, Apache Beam

Terraform, Kubernetes, Docker

Apache Iceberg, Delta Lake, or Apache Hudi

Real-time and event-driven architectures

AWS Glue, Amazon MWAA, Azure Data Factory

Data Mesh and Data Product concepts

Machine learning data pipelines, feature stores, or AI development experience

Streaming analytics and Change Data Capture (CDC) solutions (e.g., Debezium)

We Offer

Vacation: As per the laws of your country. We do ask you to take a proper rest

Health insurance: We help you to take out an insurance policy for you and your loved ones

Sick pay: 10 days without a doctor's note, afterwards - as per the laws of your country

Equal opportunities

Time off for state holidays: According to the official calendar, regardless of the client's schedule

Pleasant environment: Two large corporate parties and many small get-togethers for colleagues

Comfort service: Solving technical and everyday problems at work

More about the perks List of benefits in PDF The benefits package may vary depending on the region and the type of contract