Senior Data Engineer, Delivery Centre- Newcastle

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Job Description:

Would you like to be part of a growing engineering capability in a people-centric organisation? Or perhaps work in an open and collaborative learning environment? Are you passionate about technology, people and developing your coding skills? We have got all this and more. Whatever your aspirations, we’re looking for engineers to be part of an exceptional technology capability, providing dedicated engineering capacity for our clients.

At Credera, we work with a range of clients and help them to level-up their engineering capabilities in a partnership model. Through our Delivery Centre, we help them build microservices architectures, develop AI and machine learning capabilities and operate cloud infrastructure. As part of the Delivery Centre team, you’ll collaborate with architects, technology consultants and client stakeholders, giving you a chance to hone your skills across the latest technologies, development and operational practices, and cloud platforms, whilst growing your career. The central hub for this position is in Newcastle, but we welcome applicants from across the North-East. To meet our client's needs, you will need to be security clearable.

How you will be expected to work

As a Senior Data Engineer in Credera’s Delivery Centre capability, you’ll work as part of a close-knit team supporting one of our long-term client partnerships alongside architects, support engineers, and delivery leaders. Building on Credera’s reputation for engineering excellence, you’ll draw on broad delivery experience to optimise team outcomes and act as a recognised technical leader.

As a senior delivery centre engineer you will lead significant areas of delivery or multiple workstreams with minimal supervision, working closely with client directors and delivery leads. You’ll lead multiple teams or pods, act as the primary escalation point for delivery and operational matters, and coach and mentor more junior engineers. You’ll be expected to be transparent, act with humility and collaborate well, setting standards for the wider team and continuously improving how delivery is done.

Requirements

You’ll have:

• The ability to work collaboratively and build strong relationships across delivery teams, leadership and stakeholders, influencing decision-making and managing expectations
• Experience of back-end / data engineering across a number of languages (including Python), and commonly used IDE’s
• Experience with developing, scheduling, maintaining and resolving issues with batch or micro-batch jobs on AWS ETL or Azure ETL services
• Experience querying data stored on AWS S3, or through a Lakehouse capability
• Experience in managing API-level and Database connectivity
• Experience using source control and DevOps tooling such as Gitlab
• Experience in use of terraform (or similar cloud native products) to build new data & analytics platform capabilities
• Experience supporting live service within a standard Service Management environment
• Proven experience leading significant areas of delivery or multiple workstreams to time, cost and quality with minimal supervision
• Experience leading multiple teams or pods and acting as the primary escalation point for delivery and operational matters
• A track record of continuously evaluating and improving delivery processes to drive efficiency, quality and team capability
• The ability to anticipate and mitigate delivery risks, addressing ambiguity through structured analysis to ensure delivery continuity and stability
• Recognition as a subject matter expert or trusted operational lead, leveraging your internal network to connect teams with the right expertise and resources
• You will be required to hold active SC clearance for this role.

Desirable skills

• Experience automating operations tasks with one or more scripting languages.
• Experience with developing data features and associated transformation procedures on a modern data platform. Examples include (but not limited to) Azure Fabric, AWS Lakeformation, Databricks or Snowflake.
• Experience in configuring logging, alerting and managing observability of data jobs and pipelines using AWS or Azure services.
• Experience with working with relational databases, such as PostGres, Oracle DB or MySQL
• Experience working within a team, in an agile, iterative engineering environment.
• Experience deploying and managing machine learning model deployments (MLOps) on appropriate services. Examples include (but not limited to) Azure Machine Learning, AWS Sagemaker, Databricks or Snowflake.
• Experience using AI or Agentic techniques in application of the role through GitHub CoPilot, Claude Code, or equivalent.
• A drive for self-improvement and building leadership capability, coaching and mentoring others to support their professional growth and performance.
• Approach problem solving pragmatically, collaborating with senior stakeholders to agree actions and a route forward for major delivery or service challenges.
• You’ll need to be perceptive, personable, culturally sensitive and demonstrate a high degree of emotional intelligence.

Benefits

Along with a great company culture, Credera provides an exceptional compensation package including a competitive salary and a comprehensive benefit plan. Whilst working on a long-term engagement, you will have access to a range of training and development opportunities, as well as coaching and mentoring from experienced technologists.

Our consistent growth over the years and entrepreneurial environment, provides an excellent platform to embark upon an exciting career path, where your contribution really counts, and we will recognise it. With a supportive network of colleagues around the globe and exciting client assignments, you’ll feel empowered to bring your best self and thrive in a collaborative environment. We are a social bunch of people and connect as a team on a regular basis.

Learn More

Credera is a global consulting firm that combines transformational consulting capabilities, deep industry knowledge, and AI and technology expertise to deliver valuable customer experiences and accelerated growth across a broad range of industries worldwide. Our one-of-a-kind global boutique approach means we provide our clients with tailored solutions unique to their organisation that can scale due to our extensive footprint. As a values-led organisation, our mission is to make an extraordinary impact on our clients, our people, and our community. We believe it is this approach that has allowed us to work with and transform the most influential brands and organisations in the world, from strategy through to execution.

We are part of the OPMG Group of Companies, a division of Omnicom Group Inc. Credera will never ask for money up front and will not use apps such as Facebook Messenger, WhatsApp or Google Hangouts for communicating with you. You should be very wary of, and carefully scrutinise, any job opportunity that asks for money prior to starting and/or one where all communications take place exclusively via chat.

Omnicom’s policy requires employees to work in the office for a minimum of three days a week, unless additional in-office days are directed by their agency or manager. Our objective is to increase this requirement over time, and many of our agencies as well as Omnicom’s corporate group already require five days of in-office attendance.

Omnicom is committed to hiring and developing exceptional talent. We agree that talent is uniquely distributed, and we’re focused on developing inclusive teams that can bring the best solutions to everything we do. We strongly believe that celebrating what makes us different makes us better together. Join us-we look forward to getting to know you. We will process your personal data in accordance with our Recruitment Privacy Notice.

Link to Recruitment Privacy Notice: https://www.omc.com/privacy-notice/