Shape the Future of AIJoin one of the UK's fastest-growing companies and become a Professional Development Expert in Artificial Intelligence.

View Roles

Senior Data Engineer

Dayshape
Edinburgh
1 week ago
Create job alert

About Us 

We’re Dayshape—an award-winning software scale-up with big ambitions and the momentum to match. Trusted by Big Four and many other top professional services firms globally, our AI-powered resource management platform is helping organisations to achieve extraordinary results.   

Our platform stands apart as the only solution that combines advanced AI, real-time project financials, and firm-wide insights to elevate resource management to a strategic function. By driving profitable growth, powering confident decisions, and ensuring satisfied clients and teams—we're helping our customers build strong organisations and careers for the long term. 

Why our customers love Dayshape: 

  • We help professional firms optimise margins and increase revenue, unlocking access to more profitable work.   
  • We provide complete operational visibility today and the tools to confidently predict tomorrow.   
  • We empower firms to become the places where top talent wants to work - and the best clients want to work with.   

Recognised as Scotland’s fastest-growing tech company in the Deloitte Technology Fast 50 for three consecutive years and more recently as the Enterprise Digital Tech Business of the Year at the 2024 ScotlandIS awards, we’ve consistently proven our ability to innovate and deliver real impact—and we’re always looking for like-minded people to join us.  

At Dayshape, our purpose is to improve people's working lives, and our culture is an important driving force in helping us to do just that. We're a friendly, inclusive, and ambitious team—driven by ourvaluesand a shared commitment to success. If you’re ready to join a fast-growing, high-impact company that’s reimagining resource management, then let’s talk.

About the role

The Integrations Team at Dayshape are responsible for developing the integrations for all our customers and is a highly critical team for the business. We are currently looking for a Senior Data Engineer to join this team.

You will be working very closely with global customers during the entire lifecycle driving integrations and supporting the successful delivery of customer projects. You will take ownership of integrations and data engineering initiatives and make sure they are successful, focusing on scalability and usability.

What you'll do

  • Work independently on complex projects with minimal oversight, while coordinating tasks across team members when needed. 
  • Collaborate with software implementation consultants and customer IT teams to define, validate, and test ETL specifications and data source endpoints. 
  • Implement, test, and deploy Azure Data Factory pipelines and Data Bricks in future using version control across customer environments. 
  • Integrate and transform data from diverse sources (databases, APIs, streaming) into a unified data model. 
  • Produce production-ready code and participate in thorough code reviews. 
  • Partner with Site Reliability and Engineering teams to ensure data solutions are observable, performant, and reliable end-to-end. 
  • Support production cutovers, including out-of-hours deployments, and review go-live plans from junior team members. 
  • Continuously identify opportunities to improve existing ADF processes for greater scalability and maintainability. 
  • Understand broader SDLC context and team dynamics, acting as a dependable contributor and problem-solver. 

About you

  • Strong expertise in Azure Data Factory or equivalent cloud ETL tools, with experience building scalable, maintainable pipelines is essential.  
  • Extensive experience as a senior data or integrations engineer.
  • Hands on experience on Python, Pyspark or Spark in an IDE. Data Bricks highly preferred. 
  • Proven track record in complex Data Engineering environments, including data integration and orchestration. 
  • Experience integrating external systems via REST APIs, SQL databases, and other common data sources. 
  • Strong understanding of modern ETL/ELT practices and data modelling, including complex relational structures. 
  • Client-facing experience, with the ability to translate business needs into technical solutions. 
  • Excellent communication skills, able to convey complex concepts to both technical and non-technical audiences. 
  • Collaborative and detail-oriented, with a structured approach to problem-solving and cross-functional teamwork.  

Bonus points if you have

  • Experience in design and infra setup on Azure Data Bricks. 

What you’ll get 

  • Salary £50,258 - £63,650 dependent on experience) 
  • At least £1,000 per year to spend on professional and personal development 
  • 33 days' holiday per year (including bank holidays), increasing by 1 day each year to a maximum of 40 days 
  • Paid four week sabbatical in your fifth anniversary year on top of your holiday entitlement 
  • Enhanced family leave policies 
  • Private healthcare and rewards through Vitality 
  • Income protection and death in service cover 
  • Matched 5% auto-enrolment workplace pension scheme 
  • Access to wellbeing offerings, such as our Employee Assistance Programme and a dedicated counselling service 
  • Innovation Week twice a year - a chance to experiment and work off-project 
  • Volunteering time – up to 20 hours a year to participate in volunteer work 
  • Regular All Hands meeting for inspiration and over-communication 
  • Time out of the working week for team socials each month, with a mix of in-person and virtual options: past events include hiking, family BBQs, board games and at-home cocktail classes! 
  • Genuinely nice, smart people to work with, who are excited about growing our company 

Working Details 

This is a full-time role (37.5 hours per week). We typically work from 09:00 - 17:30 from Monday to Friday, though we can be flexible around this, just let us know. 

We’re ideally looking for someone in/around Edinburgh, though we’re open to the possibility of this being a remote role (as long as you're in the UK). We're making the most of hybrid working, so you won't need to come into the office everyday (unless you want to!). 

We don't mandate required office time, but we find that most of the team enjoy working from home 2-3 days a week, and come into our office to connect with each other, make use of space, and for meetings. 

Join the team! 

Equality of opportunity is more than just a responsibility: we believe it’s a huge advantage to welcome a variety of experiences and perspectives into the team. Diversity is a great asset and, as such, we strongly encourage applications from any background. 

This is your opportunity to really influence how we get things done, and how we support our customer integrations as we grow. We're doing well, but there's lots more to do in order to maintain the high bar and pace that we've set. 

Everyone here is growing personally as the company grows, so if that sounds like something you’d like to be part of, we’d love to see your application.  The deadline for applications isFriday15th August at 12pm.Initial screening calls will take place shortly after the closing date.

Please note the successful candidate for this role will be subject to background checks and will have an opportunity to declare anything to us beforehand.

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer - Winchester

Senior Data Engineer - Cloud

Senior Data Engineer

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.

10 Machine‑Learning Recruitment Agencies in the UK You Should Know (2025 Job‑Seeker Guide)

With deep‑learning projects now integral across healthcare, finance and tech, UK demand for machine‑learning talent is booming. Lightcast shows +50 % YoY growth in UK adverts referencing “machine learning,” “deep learning,” “computer vision” or “reinforcement learning” in Q1 2025. Monthly vacancies sit around 1,800–2,100, but certified ML specialists number fewer than 15,000. Specialist recruiters help candidates access hidden roles, competitive packages, and structured interview prep. How we screened: Only UK‑registered agencies with clear ML/AI or Data practices Agencies that posted ≥ 5 UK ML roles between March and June 2025

Machine Learning Jobs Skills Radar 2026: Emerging Tools, Frameworks & Platforms to Learn Now

Machine learning is no longer confined to academic research—it's embedded in how UK companies detect fraud, recommend content, automate processes & forecast risk. But with model complexity rising and LLMs transforming workflows, employers are demanding new skills from machine learning professionals. Welcome to the Machine Learning Jobs Skills Radar 2026—your annual guide to the top languages, frameworks, platforms & tools shaping machine learning roles in the UK. Whether you're an aspiring ML engineer or a mid-career data scientist, this radar shows what to learn now to stay job-ready in 2026.

How to Find Hidden Machine Learning Jobs in the UK Using Professional Bodies like BCS, Turing Society & More

Machine learning (ML) continues to transform sectors across the UK—from fintech and retail to healthtech and autonomous systems. But while the demand for ML engineers, researchers, and applied scientists is growing, many of the best opportunities are never posted on traditional job boards. So, where do you find them? The answer lies in professional bodies, academic-industry networks, and tight-knit ML communities. In this guide, we’ll show you how to uncover hidden machine learning jobs in the UK by engaging with groups like the BCS (The Chartered Institute for IT), Turing Society, Alan Turing Institute, and others. We’ll explore how to use member directories, CPD events, SIGs (Special Interest Groups), and community projects to build connections, gain early access to job leads, and raise your professional profile in the ML ecosystem.