Senior Data Engineer

• Design, develop, and maintain scalable, reliable, and secure data pipelines using modern data engineering technologies.
• Build data ingestion frameworks, ETL/ELT processes, and real-time streaming solutions.
• Architect, optimize, and monitor data warehouses, data lakes, and lakehouse environments.
• Collaborate with cross-functional teams to ensure data availability, quality, and performance.
• Implement best practices for data governance, security, lineage, and metadata management.
• Develop and maintain CI/CD pipelines for data engineering workloads.
• Troubleshoot complex data issues, ensuring high availability and resilience in production.
• Mentor junior engineers and contribute to architectural decisions and technical strategy.

Do you have experience in Terraform?, * 6-10 years of hands-on experience as a Data Engineer or similar role.

• Strong programming experience in Python, Scala, or Java.
• Proven expertise with SQL and optimizing complex queries.
• Extensive experience with cloud platforms such as:
• AWS (preferred), Azure, or GCP
• Hands-on experience with:
• Data warehousing (e.g., Snowflake, Redshift, BigQuery)
• Data lake/lakehouse architectures
• Distributed processing frameworks (e.g., Spark, Databricks, Flink)
• Experience building ETL/ELT pipelines and working with workflow orchestration tools such as Airflow, dbt, or similar.
• Knowledge of CI/CD, Git, containerization (Docker), and infrastructure-as-code (Terraform or CloudFormation).
• Strong understanding of data modelling, data governance, security standards, and best practices.
• Experience in Agile development environments.

Job Types: Full-time, Permanent

Pay: £75,000.00-£95,000.00 per year

Benefits:

• Work from home