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

Apply Now

Senior Data Engineer

Hastings
1 month ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Lead/Senior Data Engineer – Global Software Company – Ideally hybrid 2 to 4 days a month in Hastings, East Sussex – up to 70K plus an extensive benefits package.

Stratospherec is delighted to be recruiting for a Lead/Senior Data Engineer with strong leadership and mentoring expertise to join the talented data services team at our client, a leading global software technology company based in East Sussex. This is a unique opportunity for a ‘hands on’ Lead/Senior Data Engineer who is able to demonstrate previous proven success leading on strategy and deliverables for a number of years at an end client. Additionally, you should have proven leadership and mentoring experience, with a high level of competency in Microsoft Azure data tools, particularly Microsoft Fabric, with an emphasis on OneLake and Data Factory.

In this exciting Lead/Senior Data Engineer role, you will have a significant impact on company strategy, building out the company’s processes to collect, manage and convert raw data to evaluate and optimise organisational performance via reports and other data sources. Naturally, you will be a strategic visionary who is highly adept at leading cross departmental collaboration to understand requirements and needs.

This hybrid Lead/Senior Data Engineer role will ideally be based 2 to 4 days a month at the company’s beautiful office in Hastings, East Sussex, with the remainder working remotely. This role is offering a competitive salary up to 70K plus an extensive benefits package.

Key Responsibilities

• Mentoring and leadership, coaching and training colleagues in their career and personal development whilst managing, maintaining, and evolving the company’s data platform and data sinks to support future growth.

• Designing, creating, managing, and maintaining required ETL/ELT processes.

• Providing input throughout key projects and into a data strategy and road map to enable future growth as well as addressing legacy systems.

• Maintaining knowledge of technology trends and offerings with a view to evaluating and implementing any required to fulfil requirements.

• Working with key stakeholders in and out of projects providing timely work updates when required.

Essential Skills and Experience:

• Ability to demonstrate success and deliverables as a Lead/Senior Data Engineer at an end client, with proven leadership and mentoring experience.

• Demonstrable experience in design and implementation of Data Architecture patterns and data modelling as well as a problem-solver, with excellent critical thinking skills, able to identify and solve potential problems, and approach database design from a structured, standards-based point of view.

• Demonstrable in-depth knowledge and experience of Microsoft Azure data tools, particularly Microsoft Fabric, with an emphasis on OneLake and Data Factory.

• ELT/ETL experience (Data Transformation).

• SQL Server database and solution design, structure, maintenance and best practises. The successful candidate will be able to demonstrate an extensive breadth and depth of T-SQL skills.

Desirable Skills and Experience:

• Database design, structure, maintenance and best practises

• Tableau

• Power BI

• SSAS

• SSIS

• Other ETL tools, particularly Microsoft Azure data tools

This exciting Lead/Senior Data Engineer opportunity is offering an exciting salary up to 70K plus an extensive benefits package. If this role looks to be of interest, please reach out as soon as you can with your interview availability to find out more

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 Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

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.