Data Engineer

Morson Edge (Financial Services)
Edinburgh
1 month ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

We are currently partnering with a leading and customer centric financial services company in their search for a Data Engineer.


You will joining an experienced and innovative data and analytics function who are currently engaged on multiple data focused projects which are in various stages of development following Agile practices. You’ll be automating and integrating multiple data systems, and developing business intelligence solutions for reliable, seamless reporting to serve multiple stakeholders. The technology stack consists of: Oracle tools, Snowflake, Postgres, various AWS Services (SageMaker, Lambda, Step Functions, DMS, S3 etc.) in the AWS Cloud.


Responsibilities

  • Designing, building, and maintaining a Data Warehouse and related applications.
  • Analysing, developing, delivering, and managing business intelligence reports in OAS and other tools
  • Assisting in the design of the ETL process, including data quality, reconciliation, and testing
  • Contributing to technical process improvement initiatives
  • Supporting UAT processes by working with stakeholders to successfully sign-off business requirements
  • Assisting in prioritisation and estimation of project work
  • Transform data into meaningful insights and recommendations

What you’ll bring

  • Experience of building a data warehouse using an ETL/ELT tool
  • Good knowledge of standard data formats (XML, JSON, csv, etc)
  • Proven experience of delivering BI solutions for business requirements
  • Experience of developing using an Agile development approach
  • Proficient in turning raw, structured and unstructured data into meaningful insights and recommendations
  • Efficient at handling large data sets in data platforms (such as Oracle, Snowflake), with mastery of SQL and Power BI. Additional Proficiency in Python or R is an asset.
  • Experienced in delivering difficult and complex projects involving multiple teams/stakeholders
  • You’ll have excellent communication skills with the ability to build relationships at all levels, you are highly customer focused with the ability to work collaboratively.
  • Able to perform and work effectively as a sole developer on a project and work collaboratively with the wider BI Team.

Highly Desirable

  • Proven Experience of Oracle ODI
  • Experience in Oracle
  • Familiarity with Snowflake
  • Experience of building Oracle OBIEE/OAS reports & dashboards
  • Experience with working on the cloud, preferably with AWS, including certifications
  • Familiarity with Apex
  • Understanding of machine learning or data science, including Python.

Candidates must be based in the UK and hold a British/EU Passport or Indefinite Leave to Remain


#J-18808-Ljbffr

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.

Products

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Jobs

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

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.

🍪 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.