Data Engineer- Leading Global Insurance Specialist

Quality Control Specialist - Pest Control; London; On-site; GBP 60,000 - 90,000; Full time

Job summary

A global firm in London is seeking a Senior Data Engineer to join their Business Engineering team. This role offers the chance to design and enhance data systems for key business operations, alongside experienced engineers. Ideal candidates should have at least 5 years in data engineering with solid AWS experience. Benefits include a competitive salary, bonuses, and an impactful work environment.

Benefits

Market-leading base + bonuses

Meritocratic work culture

Direct business impact

Qualifications

• 5+ years' data engineering experience, preferably in financial services.
• Proficient in data integration, modelling, optimisation, and data quality tools.
• Must have experience with AWS.

Responsibilities

• Design and develop data services for the business.
• Work on feed and trade processing systems and data pipelines.

Skills

Data engineering experience

Data integration and modelling

Experience with AWS

Tools

SQL Server

PostgreSQL

NoSQL technologies

Snowflake

Databricks

Job description

This is a fantastic opportunity for a smart, motivated problem-solver to be the first-ever senior data hire at this London-based global firm, joining the Business Engineering team that develops and enhances systems used across the business, including front office trading, middle office operations and actuarial functions. You would work with other highly experienced engineers to design and develop data services across the business, including feed and trade processing systems, as well as data pipelines to extract and transform critical data used by strategists.

Successful candidates would have the potential to make a real impact from day one with a great deal of influence and ownership over their work. This is a unique opportunity for huge impact and progression within a well-established firm.

Requirements

• 5+ years' experience of data engineering (within financial services is preferred, but not necessary)
• Solid experience of data integration, modelling, optimisation and data quality tools and techniques
• Experience with AWS is a must-have
• Knowledge of SDLC and development best practices

Desirable

• Experience with any of the following: SQL Server, PostgreSQL, NoSQL database technologies
• Familiarity developing and maintaining data warehouses/lakes using big data solutions (e.g. Snowflake, Databricks)

Benefits

• Market-leading base + bonuses
• Meritocratic work culture and superb chance to work with the best engineers
• Direct business impact, little to no 'red tape'

Contact
If you think you're a suitable candidate for the role and would like further info, please contact:

Stan Cannons
[e-mail]
linkedin.com/in/stan-cannons-86023b237