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Version 1 has celebrated 30 years in business and continues to be trusted by global brands to deliver technology and transformation solutions that drive customer success. Our deep expertise enables our customers to navigate the rapidly evolving technology landscape. We foster strong partnerships with global technology leaders including Microsoft, AWS, Oracle, Red Hat, OutSystems, Snowflake, ensuring that our customers are provided with the highest quality solutions and services.
We’re an award-winning employer reflecting how our employees are at the very heart of what we do:
We’re a core values driven company, we hire people who share our values, and we reward those who display and foster them, it’s deeply embedded within our DNA. Invest in us and we’ll invest in you!.
The Role
We are looking for a Senior Data Engineer to join Version 1’s 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
Partnering with business and technology stakeholders to build and enhance reliable, scalable data platforms
Designing, building, and operating batch and streaming data pipelines
Developing high‑throughput, low‑latency data processing systems
Working within the Databricks and Apache Spark ecosystem to support large‑scale data workloads
Building and maintaining cloud‑native data solutions on AWS
Using dbt for data transformation, modelling, testing, and documentation
Orchestrating data workflows using Airflow or similar orchestration tools
Writing clean, efficient, and well‑tested code following software engineering best practices
Collaborating closely with product, analytics, and platform teams
Supporting production systems by troubleshooting issues and implementing continuous improvements
Ensuring solutions are production‑ready: secure, tested, observable, and cost‑efficient
Optimising data performance, reliability, and data quality in live environments
What You’ll Bring
5+ years’ experience in hands‑on data engineering roles
We were looking for stronger hands-on technical depth across areas such as building production-grade data pipelines, data quality and validation, Databricks governance/access management, real-time processing, and data security.
We were looking for more practical experience in designing solutions, explaining technical decisions and trade-offs, and solving complex data engineering problems.
Candidates who have influenced design and technical decisions with trade offs and rationale.
Clear, hands-on involvement and ownership across the full lifecycle from design, implementation, testing, Security, Governance, deployment, production support.
Enterprise-scale environments, large data volumes (between 10s to 100s TBs ),
Comfortable working with multiple stakeholders (BAs, Architect, Data Scientist, end user).
Strong hands‑on coding skills in Python, Java, or similar languages, with strong SQL capability
Proven experience building and operating batch and streaming pipelines in production
Experience with AWS, Databricks / Spark, and modern data architectures
Hands‑on experience using dbt for transformations and Airflow (or equivalent) for orchestration
Solid understanding of data modelling, data quality, and production data systems
Experience working with relational databases such as Postgres or SQL Server
Familiarity with CI/CD pipelines, testing frameworks, and monitoring / observability tooling
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.
And many more exciting benefits… drop us a note to find out more.
Version 1 is an equal opportunities employer.
We are committed to building a diverse, inclusive and respectful workplace where everyone feels valued and able to thrive. We welcome applications from people of all backgrounds, identities and lived experiences, and we value the different perspectives people bring.
We want every candidate to have a positive and accessible recruitment experience. If you need reasonable adjustments at any stage of the process, please contact [recruiter email address] at Version 1. We will consider all requests carefully, respectfully and confidentially.
Version 1 is an equal opportunities employer.
We are committed to building a diverse, inclusive and respectful workplace where everyone feels valued and able to thrive. We welcome applications from people of all backgrounds, identities and lived experiences, and we value the different perspectives people bring including those shaped by disability and neurodiversity.
We want every candidate to have a positive and accessible recruitment experience. If you need reasonable adjustments at any stage of the process, please contact your recruiter at Version 1. We will consider all requests carefully, respectfully and confidentially.
Video links: https://www.youtube.com/watch?v=F_d3ELTH5zo
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