Data Engineer - Python, Databricks, Snowflake, Azure, Data Engineering, Data Architecture, Data Anal

Morson Group; England; On-site; GBP 60,000 - 90,000; Full time

Job summary

Morson Group is seeking a Data Engineer to join a pensions and life insurance specialist to build a centralized investment data platform.

The role focuses on automating ingestion, cleaning, and distribution of asset data across Risk, Actuarial, and Investment teams, while designing robust data architecture and reporting capabilities. You will collaborate with senior stakeholders to drive data analytics improvements.

Qualifications

• 4–6 years in data engineering, with strong Python coding skills.
• Strong understanding of the Databricks ecosystem and automated data-centric services; Snowflake experience is a plus.
• Clear, confident communicator able to engage senior stakeholders and technical colleagues.
• Background in Financial Services (Banking, Investment Management, Insurance) is advantageous.

Responsibilities

• Design and build the data architecture for the new platform.
• Automate data ingestion, cleaning, quality control and distribution processes.
• Define reports and outputs and collaborate with teams to refine analytics and reporting capabilities.
• Work with senior stakeholders to optimise data analysis and reporting across Risk, Actuarial and Investment units.

Skills

Python

Databricks

Snowflake

Azure

Data modeling

Tools

Databricks

Snowflake

Azure

Job description

Data Engineer – Python, Databricks, Snowflake, Azure, Data Engineering, Data Architecture, Data Analytics, Process Automation, Actuarial, Risk, Investment Data – 12-month Fixed Term Contract

A Data Engineer with strong skills in Python and the Databricks ecosystem is sought after by a leading pensions and life insurance specialist to help drive the build of a new centralised investment data platform.

The business is currently reliant on very manual data collection processes and are embarking on a major project to implement a new platform which will automate data ingestion, cleaning/quality control and distribution across their various business units: Risk, Actuarial, Investment.

The key part of this role will involve working with senior stakeholders and wider data engineering tams to define and build the structure that will be used to report on asset data, feeding directly into their investment portfolio.

You will be responsible for designing and building the data architecture, automating processes, defining what reports and outputs look like, and working with the various teams to finetune/optimise data analysis and reporting capabilities within this new platform.

To be successful, you will demonstrate:

• 4 – 6 years in data engineering, with strong Python coding skills
• An in-depth understanding of the Databricks ecosystem and building mature automated data-centric services (Snowflake experience will also be considered)
• A clear and confident communicator with the ability to engage and influence both senior stakeholders and other technical colleagues
• Ability to take the initiative, suggesting alternative/better solutions and pro-actively seeking out additional tasks
• Ideally a background within Financial Services – Banking, Investment Management, Insurance

Please note, this is being offered on a Fixed Term Contract (FTC) basis for a period of 12 months (potential to extend), and visa sponsorship is not on offer.