Data Engineer

Edinburgh or Remote (UK), Scotland, United Kingdom

Applications have closed

Dayshape

Optimise your workforce like never before. Dayshape is an AI-powered planning and scheduling platform built for professional services firms.

View company page

About us

We’re an award-winning enterprise software scale-up with high ambitions for growth. Being recognised as Scotland’s fastest growing tech company in the Deloitte Technology Fast 50 awards over the last three years shows that we are on the right track!

Dayshape is an advanced resource management solution, incorporating AI and intelligent automation to help professional services firms optimise their workforce like never before. It’s built to handle large, complex, and ever-changing requirements with ease.

Our customers include accountancy firms from the Big Four and global top 10, and Dayshape is used in more than 15 countries across four continents. Our target customers are global firms, international networks, and large nationwide or regional organisations, if they’re big enough to have the challenges that Dayshape can solve.

This year we’re making strides into other areas of Professional Services, focusing on IT service providers and consultancies and management consultants.

As a company, we live our values every day and we're committed to making sure our friendly and inclusive environment grows with us.



About the role

During 2022 we have grown and gained many new customers. We are adapting our processes as we scale, and this includes creating a specialised team of data engineers focused on developing customer integrations.

As the first pure data integration specialist in Dayshape, you will initially work alongside our Site Reliability Engineering team, our current integration experts. As the demand for integration work increases, we will be creating a fully fledged Integration Engineering team. As a founding member of the team, you will be heavily involved in setting the standards for our integrations going forward.


What you’ll do

  • Work with our software implementation consultants (SICs) to define and verify specification documents for ETL process
  • Test customer data source endpoints alongside SICs and customer IT to ensure they meet specification
  • Implement, test and deploy Azure Data Factory (ADF) pipeline definitions within version control to customer environments
  • Work with our Site Reliability Engineering team to ensure your solutions are observable, reliable and performant
  • Work with our Engineering teams to ensure end-to-end capability for integrated data
  • Support cutover to production systems (can be outside normal working hours)
  • Identify improvements to existing Azure Data Factory processes to ensure they are more maintainable across a growing set of customers


About you

  • Familiar with cloud services and have experience in one of the main providers (Azure, AWS, Google)
  • Good understanding of the ETL process
  • Confident working with complex referential data
  • Knowledge of Rest APIs, SQL databases and other data sources
  • Comfortable being in a client-facing role
  • Clear communicator in both written and verbal English


Bonus points if you have

  • Used Azure Data Factory for 2 years or more in production projects
  • Experience using PowerBI / Data Warehouse
  • Integrated with a variety of downstream data sources, including but not limited to:
    • Cloud services
    • Custom APIs
    • Database (on-prem)

What you’ll get

  • Salary £35,000 - £50,000, 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
  • Private healthcare and rewards through Vitality
  • Income protection and death in service cover
  • Matched 5% auto-enrolment workplace pension scheme
  • EMI options as part of our employee share options 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
  • Weekly 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, online games, D&D, 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 take our customer integrations to the next level. 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.

Please note that unfortunately we are unable to sponsor visas for this role. All applicants must have the right to work in the UK.

Tags: APIs AWS Azure Data warehouse Engineering ETL Power BI SQL

Perks/benefits: Career development Equity Flex hours Flex vacation Home office stipend Paid sabbatical Salary bonus Startup environment Team events

Regions: Remote/Anywhere Europe
Country: United Kingdom
Job stats:  5  3  0
Category: Engineering Jobs

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.