Data Engineer - Databricks - £60,000

London

10 months ago

Applications closed

Related Jobs

View all jobs

Data Engineer (Data Science)

Data Engineer: Data Pipelines & DataOps (Edinburgh, 6m)

Data Engineer — DataOps, Cloud Data Pipelines

Data Engineer – AWS, Redshift & MLOps (Remote UK)

Data Engineer — Hybrid: Pipelines & DataOps Expert

Data Engineer - DataOps & Cloud Data Pipelines

Data Engineer - Databricks - £60,000 - Hybrid

Company Overview:

Our client is a growing data-focused consultancy partnered with both Microsoft and Databricks they excel in delivering exceptional data solutions to a diverse array of clients. Their expertise includes advanced data analytics, artificial intelligence, and custom finance solutions, ensuring tailored support for each unique business need. Recognising the importance of work-life balance, the company fosters a culture that values employee well-being, significantly boosting morale and productivity. Consequently, the role offers a lot of flexibility when it comes to working patterns.

Client has been growing massively, this is a great opportunity for professional development working with top engineers on cutting-edge tech.

Role Overview:

The client is looking for a talented Data engineer to come in as a consultant to work on a large variety of projects across multiple industries. The role will utilise some really interesting tech, with a key focus on the full capabilities of Databricks and additional technologies such as Microsoft Fabric.

As a consultant you will be working directly with clients to understand business needs and implement industry best data solutions accordingly.

Requirements:

Strong Databricks experience
Strong Python and SQL Skills
Azure, or AWS, experienceBenefits:

Bonus
Flexible Working
25 Days Annual Leave + Bank Holidays
Annual Salary Review

Much more

This is an unmissable chance to hone your skills and grow your career working for a top Microsoft partner, interviews are already underway so don't miss your chance. Apply Now!

Contact - (url removed) // (phone number removed)

Azure Databricks,Data Engineering, Databricks, ADF, Data Factory, synapse, Data Engineer, Data Consultant, Consultancy, Microsoft, ETL, Kafka

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jan 23, 2026

Education

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

Jan 18, 2026

Jobs Careers

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

Jan 13, 2026

Jobs

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.