Dayshape

Data Engineer (UK)

Remote Edinburgh, UK
API SQL Azure
Description

About Us

We’re an award-winning enterprise software scale-up with high ambitions for growth. We recently won the ScotlandIS Digital Tech Enterprise Business of the Year award and have previously been recognised as Scotland’s fastest-growing tech company in the Deloitte Technology Fast 50 for three consecutive years.      

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 50 countries across five 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.    

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 2024 we grew and gained many new customers. We are adapting our processes as we scale, and this includes growing our new, specialised team of data engineers for developing customer integrations.

This is a highly collaborative role where you will have the opportunity to work directly with clients on requirements gathering and the implementation of new integrations. As the demand for integration work increases, 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.
  • Work with customer IT to test customer data source endpoints 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

  • You must have demonstrable experience in Azure Data Factory or any relevant cloud ETL technology and be comfortable building transparent, easy-to-support pipelines. 
  • Must have proven experience in Data Engineering environments.
  • Experience building and maintaining data integrations with a variety of external systems.
  • Good understanding of the ETL process.
  • Comfortable being in a client-facing role.
  • Excellent communication skills: you can clearly explain technical matters to any audience.
  • Confident working with complex referential data.
  • Knowledge of Rest APIs, SQL databases and other data sources.
  • A team player, with experience collaborating with other departments.
  • You demonstrate good attention to detail and enjoy breaking complex problems down into simple steps.

Bonus points if you have

  • Previous experience directly leading calls with clients
  • Experience in other Azure data technologies such as Azure Databricks
  • Integrated with a variety of downstream data sources, including but not limited to: Cloud services, Custom Rest APIs, Database (on-prem)

What you’ll get

  • Salary £38,000-£43,990 (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
  • Enhanced family leave policies
  • 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. 
  • 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 don't mandate required office time, but we find that most of the team in Edinburgh 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 the successful candidate for this role will be subject to background checks and will have an opportunity to declare anything to us beforehand* 

Dayshape
Dayshape
Artificial Intelligence (AI) Information Technology Machine Learning Software

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