Senior Data Engineer

Dufrain
Edinburgh
9 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

Dufrain_LinkedIn_Banners_AW_5.jpg

We are Dufrain, a pure-play data consultancy specialising in helping businesses unlock the true value of their data by providing market-leading data solutions and services which includes developing strategies for AI readiness, improving data literacy and culture, enhancing real-time reporting, and managing data from mergers and acquisitions.

At Dufrain we prides ourselves on a creative and innovative approach, focusing on delivering exceptional outcomes for clients by leveraging data to drive growth and efficiency.

Our mission is to inspire, shape and deliver the data capabilities of tomorrow.

We have great opportunities for Senior Data Engineers to play a pivotal role in supporting clients navigate the complexities of data management, analytics, and strategy.

As a Senior Data Engineer you will

  • Possess a broad range of data engineering skills, with a focus on having delivered in Microsoft Azure
  • Develop good working relationships with clients on a project including interpersonal skills with both business and technical focused colleagues.
  • Experience working as a data engineer to develop performant end-to-end solutions in a collaborative team environment.
  • Delivering high-quality pieces of work, proven ability to escalate problems to client / senior team members where necessary and propose possible solutions.
  • Support building the Consulting practice through contribution to ongoing initiatives. This can include contributing to knowledge-sharing activities, and data services.
  • Demonstrated success in delivering commercial projects leveraging the above technologies.
  • Experience overseeing junior staff, including mentoring, reviewing work, and ensuring project alignment with organisational goals and standards.

EXPERIENCE REQUIRED

  • Strong experience designing and delivering data solutions in Azure Data Factory, Azure Synapse or Fabric. 
  • Expertise in SQL and Python.
  • Experience working with relational SQL databases either on premises or in the cloud.
  • Experience delivering multiple solutions using key techniques such as Governance, Architecture, Data Modelling, ETL / ELT, Data Lakes, Data Warehousing, Master Data, and BI.
  • A solid understanding of key processes in the engineering delivery cycle including Agile and DevOps, Git, APIs, Containers, Microservices and Data Pipelines.
  • Experience working with one or more of Spark, Kafka, or Snowflake

Nice to have certifications

  • DP-203 Azure Data Engineering
  • Microsoft Certified: Fabric Analytics Engineer Associate

SKILLS REQUIRED

  • A high level of drive with the ability to work to tight deadlines.
  • Experience of providing insightful solutions
  • The ability to participate effectively in meetings with senior stakeholders
  • A team player who supports, encourages and shares knowledge with others
  • A self-starter with the ability to work under pressure and with limited supervision
  • A track record of accurate output and responsibility for elements of project delivery
  • The ability to work as part of an integrated team or on an individual basis
  • Awareness of industry standards, regulations and developments

Benefits

  • Competitive base salary
  • Annual Performance related bonus
  • Hybrid home/onsite/office working – Edinburgh, Manchester & London
  • 25 days annual leave (plus bank and public holidays)
  • Birthday day off – celebrate with an extra holiday
  • Career progress programme - guaranteed learning and development investment and your own career coach
  • Life insurance
  • Private medical health insurance
  • Contributory pension
  • Health and wellbeing group
  • And many more.

 

If you’re passionate about data, and you’re looking to join a leading data and analytics company based in the UK, you could find your dream role at Dufrain.

Please submit your CV highlighting your relevant experience and certifications. Applicants must have the right to work in the UK and not require sponsorship now or in the future. Visa sponsorship is not available.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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.

Jobs

How to Write a Machine Learning Job Ad That Attracts the Right People

Machine learning now sits at the heart of many UK organisations, powering everything from recommendation engines and fraud detection to forecasting, automation and decision support. As adoption grows, so does demand for skilled machine learning professionals. Yet many employers struggle to attract the right candidates. Machine learning job adverts often generate high volumes of applications, but few applicants have the blend of modelling skill, engineering awareness and real-world experience the role actually requires. Meanwhile, strong machine learning engineers and scientists quietly avoid adverts that feel vague, inflated or confused. In most cases, the issue is not the talent market — it is the job advert itself. Machine learning professionals are analytical, technically rigorous and highly selective. A poorly written job ad signals unclear expectations and low ML maturity. A well-written one signals credibility, focus and a serious approach to applied machine learning. This guide explains how to write a machine learning job ad that attracts the right people, improves applicant quality and strengthens your employer brand.

Education Jobs

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

Machine learning job adverts in the UK love vague phrases like “strong maths” or “solid fundamentals”. That can make the whole field feel gatekept especially if you are a career changer or a student who has not touched maths since A level. Here is the practical truth. For most roles on MachineLearningJobs.co.uk such as Machine Learning Engineer, Applied Scientist, Data Scientist, NLP Engineer, Computer Vision Engineer or MLOps Engineer with modelling responsibilities the maths you actually use is concentrated in four areas: Linear algebra essentials (vectors, matrices, projections, PCA intuition) Probability & statistics (uncertainty, metrics, sampling, base rates) Calculus essentials (derivatives, chain rule, gradients, backprop intuition) Basic optimisation (loss functions, gradient descent, regularisation, tuning) If you can do those four things well you can build models, debug training, evaluate properly, explain trade-offs & sound credible in interviews. This guide gives you a clear scope plus a six-week learning plan, portfolio projects & resources so you can learn with momentum rather than drowning in theory.

Jobs

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.