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

Apply Now

Snowflake Data Engineer

Gleeson Recruitment Group
Birmingham
5 months ago
Applications closed

Related Jobs

View all jobs

Snowflake Specialist Data Engineer

Snowflake Specialist Data Engineer

Snowflake Data Engineer

Snowflake Data Engineer

Snowflake Data Engineer - AWS, Airflow & Iceberg

Senior Snowflake Data Engineer

Job Title:Snowflake Data Engineer
Location:Somerset, 3 days per week onsite

Contract- outside IR35

Overview:
We are looking for a talentedSnowflake Data Engineerto join our growing data team. Reporting to the BI & Data Manager, you will play a key role in the technical build of our new enterprise data warehouse. While the overall BI and data strategy is being led by the manager, your focus will be on hands-on development: building scalable pipelines, designing efficient data models, and ensuring a high-quality Snowflake environment to support business intelligence, analytics, and data-driven decision-making.

Key Responsibilities:

  • Develop and optimize data pipelines and ETL processes into Snowflake.

  • Build, structure, and maintain the Snowflake data warehouse.

  • Work closely with the BI & Data Manager to align technical solutions with strategic goals.

  • Implement data modelling best practices to support reporting and analysis needs.

  • Ensure data integrity, security, and performance within the Snowflake environment.

  • Collaborate with business analysts, developers, and stakeholders across the business.

Skills and Experience Required:

  • Strong experience working withSnowflakein a data engineering capacity.

  • Expertise in SQL and ETL/ELT development.

  • Familiarity with cloud platforms (AWS, Azure, or GCP).

  • Experience with data modelling (e.g., star/snowflake schema).

  • Knowledge of best practices in data governance, security, and performance optimization.

  • Ability to work collaboratively but also drive work independently.

Please apply asap if interested. GleeIT - Snowflake Data Engineer

At Gleeson Recruitment Group, we embrace inclusivity and welcome applicants of all backgrounds, experiences, and abilities. We are proud to be a disability confident employer.
By applying you will be registered as a candidate with Gleeson Recruitment Limited. Our Privacy Policy is available on our website and explains how we will use your data.

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.