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Adria Solutions; England; On-site; GBP 50,000 - 70,000; Full time

Benefits offered by this job

26 days annual leave

Birthday off

Contributory pension scheme

Health & wellbeing initiatives

Job summary

Adria Solutions is seeking a hands-on Data Engineer to join our Southampton team. You will design and build scalable data pipelines using Python and SQL, while enhancing a cloud-based data platform on Azure and Databricks.

You will collaborate with Data Scientists and analysts to deliver robust data solutions that support analytics and BI. You will ensure data quality, governance and security, and explore AI-driven automation to monitor pipelines and improve efficiency.

Qualifications

• Strong commercial experience in Data Engineering, with Python-driven pipelines.
• Excellent SQL and data modelling knowledge.
• Experience with cloud data platforms (Azure/Databricks).
• Understanding ETL/ELT and data integration patterns.
• Knowledge of data governance, security and quality standards.

Responsibilities

• Design, develop and maintain scalable data pipelines using Python and SQL.
• Build and enhance a cloud-based enterprise data platform on Azure/Databricks.
• Develop robust data integration processes for analytics and BI.
• Ensure data quality, governance, security and compliance.
• Administer databases, optimize performance and manage access.
• Explore AI-driven automation to monitor pipelines and boost efficiency.
• Utilise Azure DevOps for version control and workflows.
• Collaborate with Data Scientists and analysts to deliver solutions.
• Troubleshoot issues and improve platform reliability.

Skills

Python

SQL

Azure

Databricks

Data pipelines

CI/CD

Data governance

Analytics

Tools

Azure DevOps

Job description

Data Engineer – Python / SQL / Azure / Databricks

Location: Southampton, Hampshire
Job Type: Permanent, Full-Time
Salary: Competitive + Excellent Benefits

The Opportunity

An exciting opportunity has arisen for a talented Data Engineer to join a leading organisation.

You will play a key role in developing and enhancing a modern, cloud-based data platform, helping to transform how data is collected, managed and utilised across the business.

Working within a high-performance environment, you will help deliver innovative data solutions that support performance analytics, operational efficiency and strategic decision-making.

This is a fantastic opportunity for a hands‑on Data Engineer who enjoys taking ownership of technical solutions and wants to work with cutting‑edge data technologies.

Key Responsibilities

• Design, develop and maintain scalable data pipelines using Python and SQL.
• Build and enhance a cloud-based enterprise data platform using Azure and Databricks.
• Develop robust data integration processes to support analytics, reporting and business intelligence.
• Ensure data quality, governance, security and compliance with relevant regulations.
• Undertake database administration activities, including performance optimisation, indexing and access management.
• Explore and develop AI-driven automation to monitor data pipelines and improve operational efficiency.
• Utilise Azure DevOps for version control, development workflows and collaboration.
• Work closely with Data Scientists, analysts and other stakeholders to deliver effective data solutions.
• Troubleshoot technical issues and continuously improve platform performance and reliability.

Essential Skills & Experience

• Strong commercial experience in Data Engineering, particularly developing data pipelines using Python.
• Excellent SQL skills and a solid understanding of database design and data modelling.
• Experience working with cloud-based data platforms, ideally Microsoft Azure and/or Databricks.
• Knowledge of ETL/ELT processes and data integration techniques.
• Understanding of data governance, security and quality standards.
• Experience with version control and CI/CD practices.
• Strong analytical, problem-solving and communication skills.

Desirable Skills

• Experience with Azure DevOps.
• Knowledge of AI-driven automation and data pipeline monitoring.
• Experience working with large, complex datasets.
• Exposure to sports analytics, performance data, GPS tracking or similar datasets.
• Experience collaborating with Data Scientists and analytics teams.

What's on Offer?

• Competitive salary and comprehensive benefits package.

• 26 days' annual leave plus bank holidays and your birthday off.

• Contributory pension scheme.

• Health and wellbeing initiatives.