Data Engineer- Leading Global Insurance Specialist

NACBA; London; On-site; GBP 60,000 - 90,000; Full time

Job summary

This is an exciting opportunity for a senior data engineering role at a global firm based in London, where the successful candidate will make a substantial impact on the business by designing and developing critical data services. Candidates with a strong background in data engineering and AWS are sought to join a meritocratic culture that promotes significant ownership and influence over projects, along with competitive remuneration and bonuses.

Benefits

Market-leading base + bonuses

Meritocratic work culture

Direct business impact

Responsibilities

• Design and develop data services across the business, including feed and trade processing systems.
• Collaborate with experienced engineers to enhance systems used in front office trading and actuarial functions.

Skills

Data engineering

AWS

Data integration

Data modelling

Data optimisation

Data quality tools

SQL Server

PostgreSQL

NoSQL

Data warehousing

Big data solutions

SDLC knowledge

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