Job Description :

We are looking for a Senior Data Engineer to join Version 1s Data & AI Practice, working on modern data platforms for enterprise and regulated clients. You will be a hands-on engineer with strong production experience, contributing to the design, build, and operation of scalable, cloud-native data solutions that enable analytics and AI at scale.

This is a delivery-focused role for an experienced engineer who enjoys solving complex data challenges, takes ownership of outcomes, and applies strong engineering discipline in real-world environments.

What You'll Be Doing :

- Designing, building, and operating reliable data pipelines using modern ETL/ELT approaches.

- Engineering cloud-native data platforms, primarily on AWS (with Azure exposure where required).

- Working with technologies such as Databricks, PostgreSQL, Aurora, and distributed processing frameworks.

- Ensuring solutions are production-ready: secure, tested, observable, and cost-efficient.

- Optimising data performance, reliability, and data quality in live environments.

- Collaborating with analysts, data scientists, AI engineers, and platform teams.

- Mentoring junior engineers and contributing to shared standards and accelerators.

What You'll Bring :

- 5+ years experience in hands-on data engineering roles.

- Strong data engineering skills using Databricks.

- Strong programming skills in Python, Java, Spark and advanced SQL.

- Need FS experience.

- Proven experience building and running data pipelines in production.

- Solid understanding of distributed systems and scalable data architectures.

- Hands-on experience with AWS data services and cloud-native platforms.

- Experience with Databricks or similar distributed data processing platforms.

- Solid understanding of data modeling and data quality approaches.

- Experience building and operating both batch and streaming data pipelines.

- Familiarity with CI/CD, monitoring, and operational support of data platforms.

- Contribute to technical design discussions and help improve system performance, scalability, and reliability.

- Support production systems by troubleshooting issues and implementing improvement.

Nice to Have :

- Experience enabling ML, AI, or GenAI workloads through strong data foundations.

- Exposure to modern BI and analytics tooling.

- Experience working in regulated or security-conscious environments.

- Consulting or client-facing delivery experience.

Why Version 1?

At Version 1, we believe in providing our employees with a comprehensive benefits package that prioritises their wellbeing, professional growth, and financial stability.

- Share in our success with our Quarterly Performance-Related Profit Share Scheme, where employees collectively benefit from a share of our company's profits.

- Strong Career Progression & mentorship coaching through our Strength in Balance & Leadership schemes with a dedicated quarterly Pathways Career Development programme.

- Flexible/remote working, Version 1 is tremendously understanding of life events and peoples individual circumstances and offer flexibility to help achieve a healthy work life balance.

- Financial Wellbeing initiatives including; Pension, Private Healthcare Cover, Life Assurance, Financial advice and an Employee Discount scheme.

- Employee Wellbeing schemes including Gym Discounts, Bike to Work, Fitness classes, Mindfulness Workshops, Employee Assistance Programme and much more. Generous holiday allowance, enhanced maternity/paternity leave, marriage/civil partnership leave and special leave policies.

- Educational assistance, incentivised certifications, and accreditations, including AWS, Microsoft, Oracle, and Red Hat.

- Reward schemes including Version 1s Annual Excellence Awards & Call-Out platform.

- Environment, Social and Community First initiatives allow you to get involved in local fundraising and development opportunities as part of fostering our diversity, inclusion and belonging schemes.