Senior Data Engineer - Snowflake/SQL/Data Modelling; 6 months; hybrid Edinburgh

Newtyne
Edinburgh, UK
2 days ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
£130,000.0 - £136,500.0
Working hours
Regular working hours

Tech stack

Information Engineering Data Systems Standard Sql SQL Databases Snowflake Data Delivery

Job description

  • Deliver the analysis, development and migration of data outcomes associated with new project
  • Design, build and maintain robust data engineering solution for the new Snowflake data platform
  • Use Snowflake to support scalable and efficient data delivery
  • Contribute to data modelling and architecture decisions
  • Support the migration of consumers from the current SQL based platform to Snowflake
  • Work closely with technical and business stakeholders to ensure successful programme delivery

Requirements

We are seeking an experienced Data Engineer to join a new programme of work for our financial services client. This is an excellent opportunity for a highly capable data professional with strong SQL, Snowflake and data modelling expertise to support the delivery of a significant data-led initiative. The successful candidate will play a key role in the analysis, development and migration of data outcomes associated with spinning up a new Snowflake data platform, while also supporting the migration of customers away from the current SQL based platform., * Minimum 10 years’ experience in Data Engineering

  • Strong hands-on expertise in SQL
  • Strong experience with Snowflake
  • Solid background in data modelling
  • Proven experience delivering data solutions within complex programmes
  • Strong stakeholder communication and delivery capability

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.careerboard.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:33 min

Integrating internal APIs and maintaining data sovereignty

Mahran Meißner Mahran Meißner · WWC Europe 2026

2:37 min

Classifying and anonymizing data during system design

Reto Kaeser · LIVE

4:06 min

Using ClickHouse as a foundation for fast analytics

Hellmar Becker Hellmar Becker · WWC Europe 2026

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

2:46 min

Transforming data architecture from on-premise to cloud

Sandhya Menon Sandhya Menon · WWC Europe 2026

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

Videos

See all

Related articles

See all