Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Engineer, Delivery Centre

Credera
Newcastle upon Tyne
3 days ago
Create job alert
Job Overview

Data Engineer, Delivery Centre – Credera, Newcastle upon Tyne, United Kingdom. The Delivery Centre provides dedicated engineering capacity for client partnerships, focusing on building microservices architectures, AI and machine learning capabilities, and cloud infrastructure. The central hub for this position is in Newcastle, with opportunities for applicants from across the UK.

Note: This information relates to a specific client requirement. Any offer of employment is subject to satisfactory BPSS and SC security clearance, including a minimum of 5 years’ continuous UK residency and confirmation of holding a British passport at the point of application.

How you will be expected to work

As an 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. You’ll have the opportunity to learn from a team of experts and develop into a future technical leader.

As a junior delivery centre engineer you will work closely with a senior consulting engineer who will engage with clients directly, typically on site, shape initial problems and translate requirements into technical tasks. You’ll be expected to communicate clearly, act with humility, and work both collaboratively and independently on technical tasks and objectives.

Responsibilities
  • Collaborate with team members to support client engagements within the Delivery Centre
  • Help translate client requirements into technical tasks
  • Contribute to the development and operation of data and analytics platform capabilities
  • Assist with monitoring, logging, and observability of data pipelines and workflows
  • Engage with architects, technology consultants, and client stakeholders as needed
Requirements

You’ll have:

  • The ability to work collaboratively
  • Experience of back-end / data engineering across a number of languages (including Python), and commonly used IDEs
  • 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 Azure ADLSv2, 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
  • Experience automating operations tasks with one or more scripting languages
  • Experience with developing data features and associated transformation procedures on a modern data platform (e.g., Azure Fabric, AWS Lake Formation, Databricks, Snowflake)
  • Experience in configuring logging, alerts and observability of data jobs and pipelines using AWS or Azure services
  • Experience with relational databases such as PostgreSQL, Oracle DB or MySQL
  • Experience working within a team in an agile, iterative engineering environment
  • A drive for self-improvement and learning new technologies and programming languages
  • Approach to problem solving that is pragmatic
Benefits and culture
  • A highly collaborative working environment and competitive compensation
  • A range of flexible benefits for well-being and lifestyle
  • One-to-one mentoring and hands-on experience for growth
  • Personalised learning and development opportunities
  • 25 days of holiday, with flexibility to up to 30 days
  • 1 CSR volunteering day to give back to the community

Learn More: Credera is a global consulting firm that combines transformational consulting capabilities with AI and technology expertise to deliver valuable customer experiences across industries. Credera is 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 messaging apps for communicating with you. Be cautious of opportunities that ask for money or require communication exclusively via chat.


#J-18808-Ljbffr

Related Jobs

View all jobs

Senior Data Engineer - Central Services

Senior Data Engineer

Data Engineer (SC Cleared)

Lead Data Engineer

Data Engineer

Data Engineer

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

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

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.

Why the UK Could Be the World’s Next Data Science Jobs Hub

Data science is arguably the most transformative technological field of the 21st century. From powering artificial intelligence algorithms to enabling complex business decisions, data science is essential across sectors. As organisations leverage data more rapidly—from retailers predicting customer behaviour to health providers diagnosing conditions—demand for proficiency in data science continues to surge. The United Kingdom is particularly well-positioned to become a global data science jobs hub. With world-class universities, a strong tech sector, growing AI infrastructure, and supportive policy environments, the UK is poised for growth. This article delves into why the UK could emerge as a leading destination for data science careers, explores the job market’s current state, outlines future opportunities, highlights challenges, and charts what must happen to realise this vision.