Data Engineer - Hybrid

Belfast
3 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

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

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.

Careers

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

Jobs

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

Careers Jobs

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.