Data Engineer

Intec Select
Liverpool
11 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer - Consultancy - Up to £600 per day (Inside IR35) - 6 Month Contract - Remote


Overview:

Join a leading consultancy, delivering innovative data-driven solutions for global clients. You’ll play a key role in developing and supporting enterprise-grade data platforms and services, ensuring high-quality data pipelines and enabling smarter business decision-making.


Key Responsibilities:

  • Design and develop homogenous data repositories for enterprise reporting and analytics.
  • Ingest data from SQL databases, REST APIs, Kafka streams and other sources.
  • Apply data cleansing rules to ensure high data quality standards.
  • Model data into a single source of truth using Kimball methodology (star schema, snowflake, etc.).
  • Develop high-quality code following DevOps and software engineering best practices, including testing and CI/CD.
  • Monitor and maintain business-critical pipelines, reacting to and resolving failures when required.
  • Collaborate with the data team to refine backlogs, plan sprints and continuously improve workflows.
  • Perform ad-hoc data analysis across structured and unstructured data sources to support solution design.
  • Document datasets in the data catalogue, including ownership, lineage, sensitivity and definitions.
  • Ensure compliance with GDPR and other data regulations when handling sensitive information.
  • Support the stability and performance of enterprise data platforms.


Requirements:

  • Strong Azure data skills: Data Factory V2, Data Lake Storage V2, Databricks, Function Apps, Logic Apps, Stream Analytics, Terraform, Azure CLI/Portal/PowerShell.
  • Proficient with PySpark, Delta Lake, Unity Catalog and Python (including unit and integration testing).
  • Deep understanding of software development principles (SOLID, testing, CI/CD, version control).
  • Strong knowledge of Kimball data modelling.
  • Advanced SQL and data analysis skills.
  • Excellent written and verbal communication.
  • Proven ability to deliver under pressure while maintaining high standards.
  • Passion for technology and its impact on business outcomes.


Package:

  • Day Rate: Up to £600 per day. (Inside IR35)
  • Contract Basis: Fully Remote.
  • Consultancy environment: Innovative, fast-paced projects with cutting-edge technologies.


Data Engineer - Consultancy - Up to £600 per day (Inside IR35) - 6 Month Contract - Remote

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.