Senior Data Engineer

Posted 2 Days Ago
3 Locations
In-Office
64K-64K Annually
Senior level
Food • Logistics • Retail
The Role
Lead design, build and operate scalable cloud and IoT data pipelines using Azure/Databricks/Spark. Deliver production-grade data products, enforce data quality, observability, CI/CD and security, mentor engineers, and collaborate with product owners, data scientists and platform teams.
Summary Generated by Built In

Salary Circa £64k (dependent on skills & experience) 

Permanent / 37 hours per week / Full-time (with flexibility for part-time working) 

Huntingdon, Lincoln or Peterborough  Office (depending on your location) – Hybrid 

 

Shaping the future of data engineering in Anglian Water  

 

As a Senior Data Engineer at Anglian Water, you’ll be a technical leader and mentor, playing a pivotal role in shaping how data is engineered, trusted, and used across the organisation. You’ll design, build, and maintain robust, scalable data pipelines that ingest, process, and store large volumes of data from a wide range of sources, enabling smarter decisions that directly support our critical services. 

 Working at the heart of our enterprise data platforms, you’ll contribute to our cloud-based analytics environment (including Azure, Databricks, and Spark) and/or our industrial Internet of Things (IOTT) data ecosystem built around MQTT, unified namespace architecture, and modern edge-to-cloud integration patterns. You’ll develop high-quality, reusable data products that transform raw and streaming data into trusted, analytics-ready assets. You’ll take ownership of the reliability and performance of our data pipelines and integrations, proactively monitoring, troubleshooting, and resolving issues to ensure uninterrupted access to critical data. 

Collaboration will be central to your role. You’ll work closely with product owners, platform engineers, data scientists, and analysts to understand evolving data needs and ensure efficient, well-designed data flows that power analytics and reporting. You’ll also optimise and manage data storage solutions, including data lakes, warehouses, and databases, ensuring they are secure, performant, and highly available. 

With a strong focus on automation, you’ll use scripting and programming to streamline data processing and reduce manual intervention. You’ll champion best practices in data engineering, security, and compliance, while documenting processes and workflows to support consistency, maintainability, and knowledge sharing across teams. 

This is a role where you can make a real impact—technically, strategically, and through mentoring others—helping Anglian Water unlock the full value of its data. 

What you will be doing 

The Senior Data Engineer will lead the design, build, and operation of scalable, secure data pipelines and integrations, transforming complex data from multiple sources into high-quality, analytics-ready data products.  You will ensure data platforms are reliable, performant, and compliant by embedding data quality controls, validation rules, observability, automation, and governance throughout the full data lifecycle 

The role involves close collaboration with product owners, data scientists, analysts, architects, cyber, and engineering teams to shape solutions that meet business and technical needs. . Alongside hands-on delivery, you will act as a technical authority within the data engineering discipline—defining guardrails, setting engineering standards, reviewing designs and code, mentoring engineers, and championing reusable patterns, automation, and high-quality delivery across teams 

You’ll continuously develop your own skills, stay abreast of emerging technologies, and contribute innovative ideas to improve data engineering capabilities. Through problem-solving, knowledge sharing, and leadership, they will help build scalable, future-ready data solutions that support Anglian Water’s strategic goals. 

 

What does it take to be a Senior Data Engineer? 

 

We’re looking for a confident and collaborative professional who can communicate clearly and influence effectively, advocating for ideas and solutions across both internal and external forums. You’ll bring strong analytical, problem-solving, and troubleshooting skills, with the ability to work through complex challenges in a structured and pragmatic way. 

You’ll be comfortable working in a team-based environment, building positive relationships and collaborating with others to deliver shared outcomes, while also being able to operate independently in ambiguous or fast-moving situations. A working knowledge of service management processes, including change, incident, and problem management, will enable you to contribute to stable, well-managed services. 

An understanding of water industry standards and regulations is advantageous, alongside a mindset that values learning, adaptability, and continuous improvement. 

Skills and experience: 

Essential 

  •  Demonstrable extensive experience (typically 5+ years) in Data Engineering, delivering scalable, production-grade data solutions.

  • Strong understanding of distributed processing, data modelling, and performance optimisation. 

  • Experience building and operating robust data pipelines across batch and/or real-time streaming architectures. 

  • Strong knowledge of data engineering principles including data quality, observability, automation, CI/CD, testing strategies, and secure-by-design practices. 

  • Proficiency in structured query and data transformation techniques, with the ability to write efficient, maintainable, and scalable data logic. 

  • Strong programming capability in a language suited to data engineering (e.g., Python, Scala, SQL). 

  • Experience working collaboratively in cross-functional, agile teams. 

  • Proven experience mentoring, reviewing code, and contributing to engineering standards and best practice. 

  • Experience with modern cloud-based data platforms and/or industrial data integration technologies (e.g., Azure, Databricks, Spark, Delta Lake, MQTT brokers, unified namespace architectures, or similar). 

Desirable 

  • Experience working with Service Management processes (Change, Incident, Problem, Event, Configuration). 

  • Recognised certification in a relevant technical discipline. 

  • Understanding of water industry standards and regulatory environments. 

 

What’s in it for you? 

  • Private healthcare and physiotherapy 

  • 24-hour Virtual GP service for you and your household

  • 26 days annual leave (rising with service) 

  • Competitive pension scheme – Anglian Water double-matches your contributions up to 7% (up to 21% combined) 

  • Bonus scheme 

  • Flexible benefits and working culture 

  • Life Assurance (8× salary) and Personal Accident cover 

  • Enhanced family leave policies 

  • Great discounts and perks 

Why apply? 

This is a chance to work on data engineering that truly matters. At Anglian Water, the data you build and manage directly supports critical services that millions of people rely on every day, from water quality and resilience to sustainability and customer experience. 

You’ll work with modern, cloud-based technologies across Azure, Databricks, and Spark, solving complex data challenges at scale. As a Senior Data Engineer, you won’t just deliver solutions—you’ll shape standards, influence technical direction, and mentor others, playing a key role in growing our data engineering capability. 

The role offers real scope for development, with time dedicated to learning, experimentation, and innovation. You’ll collaborate with talented, supportive teams across engineering, architecture, cyber, and analytics, in an environment that values quality, automation, and continuous improvement. 

 

If you’re an experienced data engineer who wants to combine deep technical expertise with technical leadership, and the opportunity to shape how data engineering is done at scalethis is the role to make that impact 

Closing date: 9th July 2026

#loveeverydrop 

#LI-ZP1

Skills Required

  • 5+ years experience in Data Engineering delivering scalable, production-grade data solutions.
  • Strong understanding of distributed processing, data modelling, and performance optimisation.
  • Experience building and operating robust data pipelines across batch and/or real-time streaming architectures.
  • Knowledge of data engineering principles: data quality, observability, automation, CI/CD, testing strategies, secure-by-design.
  • Proficiency in structured query and data transformation techniques; write efficient, maintainable, scalable data logic.
  • Strong programming capability in a data engineering language (e.g., Python, Scala, SQL).
  • Experience working collaboratively in cross-functional, agile teams.
  • Proven experience mentoring engineers, reviewing code, and contributing to engineering standards and best practice.
  • Experience with modern cloud-based data platforms and/or industrial data integration technologies (e.g., Azure, Databricks, Spark, Delta Lake, MQTT, unified namespace).
  • Experience with service management processes (Change, Incident, Problem, Event, Configuration).
  • Recognised certification in a relevant technical discipline.
  • Understanding of water industry standards and regulatory environments.
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The Company
HQ: Kansas City, KS

What We Do

Associated Wholesale Grocers (AWG) is the nation's largest cooperative food wholesaler to independently owned supermarkets, providing distribution, marketing, and development services.

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