Future Tech Jobs Future Tech Jobs

Senior Data Engineer

WTW
Ipswich, England
6 months ago
Applications closed

Related Jobs

View all jobs
Spotlight

Senior ML Compiler Engineer

Fractile Bristol, United Kingdom
Spotlight

Machine Learning Engineer - National Security (Gloucestershire)

Mind Foundry Gloucester, Gloucestershire, United Kingdom
On-site Clearance Required

Senior Data Engineer

Synthesia London, United Kingdom
Hybrid

Data Scientist

Guidant Global London, United Kingdom
£600 – £850 pd On-site Clearance Required

Senior Simulation Data Engineer

PhysicsX London, United Kingdom

Senior Data Scientist

Adria Solutions Manchester, United Kingdom
Permanent

Senior Research Engineer - Data

Synthesia London, United Kingdom
Remote

Senior Fullstack Engineer - Data Enrichment

Wayve London, United Kingdom
Hybrid
Posted
24 Nov 2025 (6 months ago)
Share
Save job
Create job alert
The Role

  • Designing, building, and optimizing data pipelines, data transformations, data storage functions, for data consumption using Azure Synapse, Azure Data Factory, and Azure Fabric.
  • Writing and fine‑tying PySpark notebooks to handle massive data workloads efficiently.
  • Troubleshooting and enhancing ETL/ELT workflows in Azure Synapse.
  • Managing and organizing Data Lakes to ensure seamless data access and performance.
  • Integrating AI/LLM models into data pipelines to drive innovation and insights.
  • Collaborating with Data Scientists, AI Engineers, and Analysts to create powerful data‑driven solutions.
  • Ensuring data security, governance, and compliance within our Azure ecosystem.
  • Staying ahead of the curve with emerging cloud, AI, and big data technologies.

Qualifications

What You Bring to the Table



  • 5+ years of experience in data engineering, working with large‑scale data platforms and cloud‑based data architectures.
  • Proven hands‑on experience designing, building, and optimizing data pipelines in at least one major cloud platform (Azure, AWS, or Google Cloud Platform).
  • Expertise in modern data engineering tools and frameworks, such as Databricks, Apache Spark/PySpark, Azure Synapse, AWS Glue, or Google Cloud Dataflow.
  • Strong proficiency in SQL and one or more programming languages (Python, Scala, or Java).
  • Experience with orchestration and workflow management tools (e.g., Airflow, Data Factory, Cloud Composer).
  • Hands‑on experience with data management within data lake architectures, data warehousing, and big data processing functions.
  • Familiarity with the integration and deployment of AI/ML and LLM solutions into data pipelines is a plus.

Bonus Points If You Have

  • Experience with real‑time data streaming tools (e.g., Kafka, Kinesis, Pub/Sub).
  • Knowledge of CI/CD practices for data engineering (e.g., DevOps pipelines, infrastructure as code).
  • Background in insurance, risk, or financial services a plus.
  • Familiarity with Databricks and its integration with Azure Synapse.
  • Knowledge of Graph Databases and NoSQL technologies.

Why You’ll Love Working Here

  • Work with the latest cloud and AI technologies, always stay ahead of the game.
  • Be part of a collaborative and forward‑thinking team that values your ideas.
  • Competitive salary, benefits, and plenty of opportunities to grow your career.
  • A flexible, modern work environment designed for how people work today.

We’re not just looking for someone to check off the skills list, we want a problem solver, an innovator, and someone who loves working with data. If this sounds like you, hit us up!


At WTW, we believe difference makes us stronger. We want our workforce to reflect the different and varied markets we operate in and to build a culture of inclusivity that makes colleagues feel welcome, valued and empowered to bring their whole selves to work every day. We are an equal opportunity employer committed to fostering an inclusive work environment throughout our organisation. We embrace all types of diversity.


#J-18808-Ljbffr

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Products

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Jobs

Machine Learning Jobs UK 2026: What to Expect Over the Next 3 Years

Machine learning has undergone a transformation that few technology disciplines can match. In the space of three years it has moved from a specialism sitting at the edges of most organisations' technology strategies to a capability that sits at the centre of them. The tools have changed, the expectations have shifted, and the range of industries treating machine learning as a core business function — rather than an experimental one — has expanded dramatically. For job seekers, this creates both opportunity and complexity in roughly equal measure. The machine learning jobs market of 2026 is significantly larger than it was three years ago, but it is also significantly more demanding. Employers have developed more sophisticated expectations, the technical bar for specialist roles has risen, and the landscape of tools, frameworks, and architectural patterns that practitioners are expected to know has broadened considerably. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which specialisms are attracting the most investment, which technologies are reshaping what machine learning engineers and researchers are expected to build, and how the definition of a machine learning career is evolving beyond the model-building core toward a much wider range of roles across the full ML lifecycle. This article breaks down what the UK machine learning jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.

Jobs

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

🍪 Basic, anonymous analytics (aggregate counts only, never shared) are always on. Accept to also enable third-party tools — Google Analytics, Microsoft Clarity, Mixpanel, Leadfeeder — which help us match you with relevant Machine Learning roles. We never sell your data or use it for cross-site advertising. See our Cookie Policy.