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

Apply Now

Data Engineer

Intec Select
Liverpool
5 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.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.