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# Data Engineer

- **Company:** Helic & Co.
- **Location:** Watford, UK (Remote available)
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Airflow, Amazon Web Services, Microsoft Azure, Big Data, BigQuery, Cloud Computing, Information Systems, Databases, Data Architecture, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Security, Data Systems, Data Warehousing, DevOps, Apache Hadoop, Python (Programming Language), SQL Databases, Data Streaming, Data Processing, Google Cloud, Snowflake, Apache Spark, Containerization, Data Lakes, Kubernetes, Information Technology, Apache Kafka, Data Pipelines, Docker, Amazon Redshift, Programming Languages
- **Published:** August 4, 2026
- **Apply:** https://www.apply4u.co.uk/jobs/x/42843718/

## About the Role

Qualifications Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field
Strong proficiency in SQL and database technologies
Experience with programming languages such as Python, Java, or Scala
Hands-on experience with data pipeline tools (e.g., Apache Airflow, Kafka)
Familiarity with cloud platforms (AWS, Azure, Google Cloud)
Understanding of data warehousing solutions (e.g., Snowflake, Redshift, BigQuery)
Strong problem-solving and analytical skills
Preferred Skills Experience with big data technologies (e.g., Hadoop, Spark)
Knowledge of data modeling techniques and schema design
Familiarity with containerization tools (Docker, Kubernetes)
Experience with CI/CD pipelines and DevOps practices
Understanding of data security and compliance standards

## Description

Job Summary We are seeking a skilled and detail-oriented Data Engineer to design, build, and maintain scalable data infrastructure and pipelines. In this role, you will be responsible for ensuring reliable data flow, optimizing data systems, and enabling analytics and business intelligence across the organization.
Key Responsibilities Design, develop, and maintain scalable data pipelines (ETL/ELT processes)
Build and optimize data architectures, including data warehouses and data lakes
Develop and maintain robust data models to support analytics and reporting
Write efficient SQL queries and manage large datasets
Ensure data quality, integrity, and security across systems
Monitor and troubleshoot data pipeline performance issues
Collaborate with data analysts, data scientists, and software engineers
Implement data governance and best practices
Support real-time and batch data processing solutions


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