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

Apply Now

Data Engineer - Hybrid

Belfast
3 days ago
Create job alert

Company description
Our client teams operate globally from offices in the UK, Ireland, US, Nordics, and Netherlands. With diverse teams of experts combine innovative thinking and breakthrough technologies to progress further, and faster. Their clients adapt and transform, and together they achieve enduring results.
Working with clients in consumer and manufacturing, defence and security, energy and utilities, financial services, government and public services, health and life sciences, and transport. The Data Engineer will have experience in AWS cloud technologies for ETL pipeline, data warehouse and data lake design/building and data movement. You will join the business at a period of huge growth.
JOB DESCRIPTION
Tech stack
While the client is keen to use the right tech for the right task, you can expect to work with the following technologies to ensure scalable, high-performance applications:

  • AWS is a significant growth area for the business with a diverse and growing capability, and we are looking for a Data Engineer with experience in AWS cloud technologies for ETL pipeline, data warehouse and data lake design/building and data movement.
  • AWS data and analytics services (or open-source equivalent) such as EMR, Glue, RedShift, Kinesis, Lambda, DynamoDB.
    What you can expect
  • Work to agile best practices and cross-functionally with multiple teams and stakeholders. You’ll be using your technical skills to problem solve with clients, as well as working on internal projects
  • Live in-person whiteboarding sessions to problem solve as a team, alongside asynchronous communication on Teams
  • Hybrid working with the team on client site or in the office a minimum of two days per week. However, the actual time you spend and where you spend it will vary by role or assignment, including up to 5 days per week on a client site.
  • You’ll work alongside colleagues from across the business – delivering transformative digital solutions to today’s most complex business challenges.
  • You’ll be designing and building for the AWS cloud
    Essential requirements
  • You thrive in problem-solving and analytical thinking
  • You enjoy collaborating with multiple stakeholders in a fast-paced environment
  • Experience in the design and deployment of production data pipelines from ingestion to consumption within a big data architecture, using Java, Python, Scala, Spark, SQL.
  • Experience performing tasks such as writing scripts, extracting data using APIs, writing SQL queries etc.
  • Experience in processing large amounts of structured and unstructured data, including integrating data from multiple sources through ingestion and curation functions on AWS cloud using AWS native or custom programming.
    Our client is dedicated to supporting the physical, emotional, social and financial well-being of their people. Check out some of the extensive benefits:
  • Health and lifestyle perks accompanying private healthcare for you and your family
  • 25 days annual leave (plus a bonus half day on Christmas Eve) with the opportunity to buy 5 additional days
  • Generous company pension scheme
  • Opportunity to get involved with community and charity-based initiatives
  • Annual performance-based bonus
  • Company share ownership
  • Tax efficient benefits (cycle to work, give as you earn)
    PLEASE NOTE – ONLY CANDIDATES THAT HAVE DV CLEARANCE WILL BE CONSIDERED

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

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.