National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Ambitious Senior Azure Data Engineer

Laminar Projects
London
2 days ago
Create job alert

Join to apply for theAmbitious Senior Azure Data Engineerrole atLaminar Projects

Join to apply for theAmbitious Senior Azure Data Engineerrole atLaminar Projects

Want to join a company that works on real world problems that make a difference to people’s lives? We are focused on changing how we build what’s around us, helping people to design and construct buildings and infrastructure.

We’re seeking an ambitious data engineer who will be working on unique challenges that leverage the latest technologies. If you like solving complex business problems, we need you!

Interested? Read on!

____________________________________________________

We are Laminar Projects!

We are an award winning consultancy that implements technology to improve the delivery of complex construction projects. Improving construction strengthens the very foundation of human civilisation.( Watch our short film about it)

We also have a separate product team, Shape Construction, that takes the deep understanding of the projects we work on to develop construction management software products.

The core of all this is our true secret sauce; people. We only recruit kind and authentic people who are fast learners. We are deeply focused on designing a new type of place that is optimised for the flourishing of the people in the team first and foremost. This approach has allowed us to grow from just 2 people in 2017 to over 200 today and we are still very much at the beginning! Joining us isn’t just some “job”, we challenge you to be your best self in all aspects of life.

Our vision is designed to align how we operate with the fundamental aspects that enable anyone to have a fulfilled life:

  • Connects us withmeaningful relationships
  • Inspires us to develop ourselves to become better humans
  • Empowers us to pursue our own learning adventures

____________________________________________________

4 core values for a good life

We believe a life of human flourishing is all about meaningful relationships with others and challenging yourself to create a positive impact. Our four core values are grow yourself, care about people, execute to greatness and build civilisation. This philosophy goes much deeper and you can see more on our website.

We are achieving this vision through the following two missions:

  • To fully digitise the construction of human civilisation
  • To create a new type of organisation that enables human flourishing while delivering a huge positive impact on society

Laminar Projects is proud to be recognized as one of the UK’s Best Workplaces in Construction, Engineering & Property for 2024! Join a team where learning, collaboration, and growth are at the core of everything we do, and where solving big challenges is part of the fun.

____________________________________________________

The Role

Purpose of the role

We are currently looking for Azure Data Engineers to join our team. As a dynamic and tech-driven startup, curiosity and innovation are two of the main traits that we love about our applicants!

Team

The Data & Digital team help people to use data effectively to improve the performance of their projects or organisations. To do this effectively and at scale we use the modern digital technologies including Azure, Fabric, Power BI and Python. We pride ourselves on being structured and outcome driven, helping us to build the best solutions and helping us to continuously improve what we do.

Your Top 5 Responsibilities

  • Building data solutions for our clients: Develop adaptable data pipelines tailored to clients' needs, employing a range of technology solutions to ensure seamless integration and compatibility.
  • Building data solutions for internal reporting: Helping Laminar to become data-driven by leveraging Fabric to collect organisation data and enhance operational efficiency.
  • Productisation of client solutions: Designing and building scalable pipelines that work across different clients.
  • Following and developing our processes: Following our best practices and identifying areas for us to improve by refining or introducing new processes.
  • Develop everyone: Keeping your knowledge up to date with latest industry trends and imparting that knowledge onto others.

Your Capabilities

You will be a proactive person who seeks to improve the way things are done and able to communicate best practice to the rest of the team.

As a candidate, you should have:

  • Degree educated in one of the following: Computer Science, Data Science, Engineering, Mathematics, Physics, or equivalent experience.
  • Azure Intelligent Data Platform expertise.
  • 4+ years working with SQL: building and optimising analytics tables, building complex queries. Experience with other database technologies is a bonus.
  • 3+ years designing and implementing robust data solutions in Azure Data Factory, Azure Synapse Analytics (Azure SQL Data Warehouse), Azure Databricks.
  • Experience with Python and Azure Functions to glue together data infrastructure.
  • Strong experience in software engineering fundamentals including testing (e.g. Azure Test Plans, dbt), Git version control, agile development and sharing knowledge via code review, mentoring and documentation (e.g. Confluence, DevOps wiki).

It would also be great if you are/have:

  • Microsoft Certification: Azure Data Engineer Associate, Azure Solutions Architect Expert
  • Experience with Microsoft Power BI/Azure Analysis Services/Microsoft Fabric
  • Experience building and leading data/software teams
  • Experience building processes at a departmental level
  • Experience in implementing products with data scientists

Laminar isn’t the place for you if any of the following is true:

  • You want an easy, chilled-out role without much challenge
  • You like to be the smartest person in the room
  • You don’t like continuously receiving honest candid feedback
  • You prefer to do your own thing rather than work with a team

At Laminar we value diverse experiences and perspectives, empowering each member to contribute their unique expertise towards our collective success, so if youdon’tthink you meet all the criteria but still are excited about this role we encourage you to apply anyways!

________________________________________________________________________________________

Salary And Benefits

Standard Stuff

  • Competitive salary dependent on location and capability
  • Private health insurance
  • In-House Coaching Sessions
  • Discretionary bonus scheme for all team members

The Life-Changing Stuff

  • Flexibility : Getting things done is what really matters, not what time of day you do it. That means you don’t have to ask permission for things like picking up your kids or going to the doctor, just keep your team in the loop if you think they will be affected.
  • Grow your whole self: Our leaders are more like coachesand one of our mainobjectivesis to give 5 years’worth of learning and development for every 1 year with us. You have a coach, mentor, well-being therapist and a development-orientated environment: That’s literally what our vision is all about and the primary reason Laminar exists.
  • Be surrounded by the best: We only hire and retain the very best people. You might be used to being the smartest in the room but that won’t be the case in Laminar. You will be surrounded by people you can learn from. We are 100% meritocratic so fast progression is the norm. You will be supported to excel in whichever areas you are most interested in! With Laminar, development is unbounded.
  • Long-term impact: We are focused on solving the biggest issues in construction project delivery in a way that can spread and outlast us.

________________________________________________________________________________________

Application

We get hundreds of applications, so please ensure your CV is written in English and is one or two pages long. You will also be asked the following questions:

  • What new opportunities or experiences are you seeking in this role that your current position hasn’t provided?
  • Describe a project or initiative from your previous experience where you were able to leverage your skills and expertise to make a significant impact?

We aren't a giant, faceless corporation; we genuinely care about attracting the right people to our team, so all qualifying applications will be thoroughly reviewed by our key leaders.

You must be located and have the current right to work in the EU.

In terms of application, we usually start with an intro call to tell you whatwe areall about in a casual conversation. That helps you to know us a bit better and tell us a bit about yourself.Seniority level

  • Seniority levelMid-Senior level

Employment type

  • Employment typeFull-time

Job function

  • Job functionInformation Technology
  • IndustriesConstruction

Referrals increase your chances of interviewing at Laminar Projects by 2x

Get notified about new Senior Data Engineer jobs inLondon, England, United Kingdom.

London Area, United Kingdom $100,000.00-$120,000.00 1 week ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 2 weeks ago

Greater London, England, United Kingdom 4 days ago

City Of London, England, United Kingdom 1 day ago

London, England, United Kingdom 1 day ago

London, England, United Kingdom 4 days ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 1 month ago

London, England, United Kingdom 4 days ago

London, England, United Kingdom 1 month ago

London, England, United Kingdom 4 months ago

London, England, United Kingdom 4 days ago

London, England, United Kingdom 3 weeks ago

London, England, United Kingdom 2 days ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 5 days ago

London, England, United Kingdom 1 month ago

London, England, United Kingdom 1 month ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 1 week ago

Mid-level - Senior Software Engineer - Financial Reporting

London, England, United Kingdom 3 months ago

London, England, United Kingdom 3 months ago

London, England, United Kingdom 3 months ago

London, England, United Kingdom 2 days ago

City Of London, England, United Kingdom 1 month ago

London, England, United Kingdom 3 weeks ago

London, England, United Kingdom 1 month ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.


#J-18808-Ljbffr

Related Jobs

View all jobs

Data Engineer - Microsoft Fabric

Data Engineer - Microsoft Fabric

Data Engineer - Microsoft Fabric

Principal Data Engineer

Data Engineer

Senior Data Engineering Consultant

National AI Awards 2025

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.

How to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.