Data Engineer

• Design, develop, and deploy scalable, secure, and reliable data pipelines using modern cloud and data engineering tools.
• Consolidate data from internal systems, APIs, and third-party sources into a unified data warehouse or data lake environment.
• Build and maintain robust data models to ensure accuracy, consistency, and accessibility across the organization.
• Collaborate with Data Analysts, Data Scientists, and business stakeholders to translate data requirements into effective technical solutions.
• Optimize data systems to deliver fast and accurate insights supporting dashboards, KPIs, and reporting frameworks.
• Implement monitoring, validation, and quality checks to ensure high levels of data accuracy and trust.
• Support compliance with relevant data standards and regulations, including GDPR.
• Maintain strong data security practices relating to access, encryption, and storage.
• Research and recommend new tools, technologies, and processes to improve performance, scalability, and efficiency.
• Contribute to migrations and modernization projects across cloud and data platforms (e.g., AWS, Azure, GCP, Snowflake, Databricks).
• Create and maintain documentation aligned with internal processes and change management controls.

Technologies:

• Airflow
• AWS
• Azure
• BigQuery
• CI/CD
• Cloud
• Data Warehouse
• Databricks
• ETL
• Flink
• GCP
• Support
• Kafka
• Python
• SQL
• Security
• Snowflake
• Spark
• Terraform
• dbt

• Proven hands-on experience as a Data Engineer or in a similar data-centric role.
• Strong proficiency in SQL and Python.
• Solid understanding of ETL/ELT pipelines, data modeling, and data warehousing principles.
• Experience working with cloud platforms such as AWS, Azure, or GCP.
• Exposure to modern data tools such as Snowflake, Databricks, or BigQuery.
• Familiarity with streaming technologies (e.g., Kafka, Spark Streaming, Flink) is an advantage.
• Experience with orchestration and infrastructure tools such as Airflow, dbt, Prefect, CI/CD pipelines, and Terraform.

We are offering a competitive salary of up to £60,000 per annum plus benefits. You will have the opportunity to work in a hybrid model, spending three days in the office. This is a chance for you to lead and mentor within our growing team while receiving professional development and training support.