Data Engineer - Databricks - £60,000

London
10 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer (Data Science)

Data Engineer (Data Science) - Build ML Pipelines

Data Engineer for Data Science — Marketing Analytics

Data Engineer (Data Science)

Data Engineer (Data Science)

Data Engineer, Data Engineer Data Analyst ETL Developer BI Developer Big Data Engineer Analytics Engineer Data Platform Engineer Cloud Data Engineer Azure Data Engineer Data Integration Specialist DataOps Engineer Data Pipeline Engineer

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.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

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

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.

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

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.