Data Engineer- Leading Global Insurance Specialist

MN Climate Innovation Finance Authority (MNCIFA); London; On-site; GBP 60,000 - 90,000; Full time

Job summary

A leading firm based in London is seeking its first senior data engineer. This role offers significant influence and ownership over data services aimed at enhancing operational efficiencies across the business. Strong candidates will have a background in data engineering, with expertise in AWS and data modelling. The position promises a meritocratic culture and direct impact opportunities, making this a unique chance for career growth.

Benefits

Market-leading base + bonuses

Meritocratic work culture

Direct business impact

Qualifications

• 5+ years' experience in data engineering, preferably in financial services.
• Experience with AWS is a must-have.
• Knowledge of SDLC and development best practices.

Responsibilities

• Design and develop data services including feed and trade processing systems.
• Work on data pipelines to extract and transform critical data used by strategists.

Skills

Data integration

Data modelling

Data optimisation

Data quality tools

AWS

Tools

SQL Server

PostgreSQL

NoSQL

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