Senior Data Engineer

York Place
5 months 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

Senior Data Engineer – Contract | Edinburgh (2 days onsite) 

£500/day (Likely Outside IR35) 

3 months initially

Bright Purple is delighted to be working with an exciting, product-focused consultancy delivering some of the UK’s most high-profile and widely used consumer applications. Their client list features some of the biggest names in tech and beyond.

We’re seeking an experienced Senior Data Engineer to join their growing Data Practice on a 3-month engagement, helping shape and deliver scalable, cloud-native data solutions for household-name clients.

What you’ll be doing

Designing, building and maintaining robust data pipelines

Automating and orchestrating workflows (AWS Glue, Azure Data Factory, GCP Dataflow)

Working across leading cloud platforms (AWS, Azure, or GCP)

Implementing and optimising modern data architectures (e.g. Databricks, Snowflake)

Collaborating with multidisciplinary teams to deliver real business value

What we’re looking for

Strong experience with Python, SQL, and pipeline tools such as dbt or Airflow

Proven background in data modelling, warehousing, and performance optimisation

Hands-on experience with cloud data services (Glue, Lambda, Synapse, BigQuery, etc.)

A consultancy mindset – adaptable, collaborative, and delivery-focused

The details

Location: Edinburgh – 2 days onsite per week

Duration: 3 months initially

Day Rate: c.£500/day

IR35: Likely Outside (pending confirmation)

Apply now or contact Bright Purple to find out more about this opportunity with one of the UK’s most dynamic digital consultancies.

Bright Purple is proud to be an equal opportunities employer. We partner with clients who value and actively promote diversity and inclusion across the technology sector

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.

New Data Engineering Employers to Watch in 2026: UK and Global Companies Driving the Data Revolution

Data engineering is at the heart of the digital economy, transforming raw data into actionable insights, powering analytics, AI systems, and cloud infrastructure. As the UK and global markets continue to invest heavily in data platforms, pipelines, and real-time analytics, demand for skilled data engineers is growing rapidly. For professionals exploring opportunities on www.DataEngineeringJobs.co.uk , the critical question is: which companies are expanding, hiring, and shaping the future of data-driven business? This article highlights new data engineering employers to watch in 2026, including UK startups, scale-ups, and international firms expanding in the UK.

How Many Data Engineering Tools Do You Need to Know to Get a Data Engineering Job?

If you’re aiming for a career in data engineering, it can feel like you’re staring at a never-ending list of tools and technologies — SQL, Python, Spark, Kafka, Airflow, dbt, Snowflake, Redshift, Terraform, Kubernetes, and the list goes on. Scroll job boards and LinkedIn, and it’s easy to conclude that unless you have experience with every modern tool in the data stack, you won’t even get a callback. Here’s the honest truth most data engineering hiring managers will quietly agree with: 👉 They don’t hire you because you know every tool — they hire you because you can solve real data problems with the tools you know. Tools matter. But only in service of outcomes. Jobs are won by candidates who know why a technology is used, when to use it, and how to explain their decisions. So how many data engineering tools do you actually need to know to get a job? For most job seekers, the answer is far fewer than you think — but you do need them in the right combination and order. This article breaks down what employers really expect, which tools are core, which are role-specific, and how to focus your learning so you look capable and employable rather than overwhelmed.

What Hiring Managers Look for First in Data Engineering Job Applications (UK Guide)

If you’re applying for data engineering jobs in the UK, the first thing to understand is this: Hiring managers don’t read every word of your CV. They scan it. They look for signals of relevance, credibility, delivery and collaboration — and if they don’t see the right signals quickly, your application may never get a second look. In data engineering, hiring managers are especially focused on whether you can build and operate reliable, scalable data systems, handle real-world data challenges and work effectively with analytics, BI, data science and engineering teams. This guide breaks down exactly what they look at first in your application — and how to shape your CV, portfolio and cover letter so you stand out.