Data Engineer

Allscreens Nationwide Ltd; Milton Keynes; On-site; GBP 65,000 - 90,000; Full time

Job summary

Connells Group is seeking a Core Data Engineer in Milton Keynes to deliver reporting data across brands, shaping architecture, modelling data and building robust pipelines in collaboration with reporting engineers.

You will join a team of data engineers, work in a hybrid model with one day per week in Milton Keynes, and help drive data strategy across the group.

Strong Python, Spark, SQL and Delta Lake experience is essential, with a passion for reliable data solutions and timely insights.

Qualifications

• Proven experience in Data Engineering, with hands-on Python, Data Modelling, Data Warehousing.
• Experience with Spark, Data Architecture, SQL and Delta Lake.
• Experience with Medallion Architecture.
• Experience with data pipelines and CI/CD.
• Strong communication and ability to work under pressure.
• Certifications in Data Engineering, Cloud, Data Modelling or Data Architecture.
• STEM degree or equivalent practical experience.
• Experience with Fabric, Azure, JIRA, Confluence, GitHub and Git Actions.

Responsibilities

• Apply best practices for data design, ensuring scalable, high‑quality architecture and modelling.
• Provide timely root‑cause analysis and resolution within SLA timeframes.
• Collaborate to build a unified team work plan aligned with objectives and data initiatives.
• Define, develop and enhance the Common Data Model with Reporting Engineers.
• Ensure alignment with data strategy and scalability; optimise data flow, security.

Skills

Data engineering

Python

Data modelling

Data warehousing

Incident resolution

SLA adherence

Communication skills

Analytical thinking

Stakeholder collaboration

Problem solving

Education

STEM degree (Computer Science, Mathematics, Engineering, Physics) or equivalent practical experience

Tools

Spark

Delta Lake

Medallion Architecture

SQL

CI/CD

GitHub

Git Actions

Azure

JIRA

Confluence

Job description

We're looking for a talented and passionate Core Data Engineer to join our highly reputable & national real estate client with their head office based in Milton Keynes.

You'll play a key role in delivering Connells Group Reporting Data, covering architecture, data modelling, design, and pipelines. You'll work closely with technical specialists to innovate, share ideas and continually enhance team capability. Your work will support strategic decision‑making across the Group by delivering accurate, timely reporting for all brands and business units.

We offer a hybrid working arrangement with 1 day per week in our Milton Keynes office.

Key Responsibilities:

• Apply best practices for data design, ensuring scalable, high‑quality and consistent architecture and modelling.
• Provide timely and accurate root‑cause analysis and resolution within SLA timeframes.
• Work with the Core Data Lead to build a unified team work plan aligned with business objectives and data initiatives.
• Collaborate with Reporting Engineers to define, develop and enhance the Common Data Model.
• Work within the overall data architecture, ensuring that it aligns with the business's data strategy, scalability and future requirements. Continuously optimise for improved data flow, accessibility and security.
• Design and develop data ingestion processes, integrating multiple data sources. Maintain the Common Data Model to ensure organisation‑wide consistency.
• Apply Agile principles for iterative and collaborative development.
• Ensure data pipeline quality, reliability and performance. Develop, test and implement monitoring to ensure effective operation.
• Support cross‑functional data projects, providing expertise as required.
• Deliver data solutions that support project goals and business outcomes.
• Proactively monitor systems and pipelines, identifying issues early and responding promptly to minimise disruption.
• Be part of a team of 5 data engineers.

Experience & Skills Required:

• Proven experience in Data Engineering, with strong hands‑on experience in Python, Data Modelling, Data Warehousing.
• Strong background in incident resolution, requests, changes and problem‑solving within SLAs.
• Hands‑on experience with Spark, Data Architecture, SQL and Delta Lake.
• Working knowledge of Medallion Architecture.
• Demonstrated capability in implementing and supporting pipelines in demanding environments.
• Strong communication skills and confidence presenting ideas and technical approaches.
• Willingness to learn, adopt and improve best practices and standards.
• Ability to work effectively in complex, high‑pressure environments using both legacy and modern technologies.
• Strong analytical thinking and attention to detail.
• Experience with Fabric, Azure, JIRA, Confluence, CI/CD, GitHub and Git Actions.
• Certifications in Data Engineering, Cloud, Data Modelling or Data Architecture.
• Experience with development lifecycle processes for data pipelines.
• STEM degree (Computer Science, Mathematics, Engineering, Physics) or equivalent practical experience.