Data Engineer

Summary

Join Dayshape, an award-winning enterprise software scale-up, as a Data Engineer to contribute to the development of customer integrations. This highly collaborative role involves working directly with clients, defining specifications, implementing Azure Data Factory pipelines, and ensuring solution reliability. You will play a key role in setting integration standards as the company scales. The position offers a competitive salary, professional development opportunities, and a comprehensive benefits package. The ideal candidate will have demonstrable experience in Azure Data Factory or similar cloud ETL technology and strong communication skills. Dayshape values diversity and offers a flexible work environment.

Requirements

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

Responsibilities

• 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

Preferred Qualifications

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

Benefits

• 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