Mid Level Data Engineer - Uruguay based

PensionBee

6d•Hybrid

About The Position

PensionBee is a growing company focused on simplifying retirement savings. Founded in London in 2014, they are expanding globally, helping customers in the UK and US consolidate their savings into a single online account. They are known for their customer-centric approach, with a personal account manager for each customer and investments managed by large firms like State Street Global Advisors. PensionBee is a public company listed on the London Stock Exchange, with teams in London, New York, and Uruguay. They are seeking a mid-level Data Engineer in Uruguay to build the data infrastructure supporting their operations. This role involves designing, building, and maintaining data pipelines and models for automated regulatory reporting, emphasizing data quality and documentation due to strict external deadlines. It offers an opportunity to shape data processes from the ground up within a balanced and inclusive culture.

Requirements

Strong SQL
A general-purpose programming language for pipeline work (e.g. Python)
Experience with a modern data warehouse (e.g. Snowflake, BigQuery, Redshift)
Solid ETL/ELT and data modelling fundamentals
A minimum of ~2 years of relevant data engineering experience, including thinking through data quality and what happens when something breaks upstream.
Comfort with high autonomy and ownership — this is a new function of the team, building things up from a fairly early stage, so comfort defining process as well as executing it matters.
Strong stakeholder management skills, given the regular interface with Product Development, Compliance, and Risk colleagues based in the UK.
Clear, precise written and spoken English — documentation and audit-readiness are a core part of the role, not a nice-to-have.
Able to work effectively and empathically in a multidisciplinary team, collaborating with product managers, compliance colleagues, and other engineers.
A love of learning and personal development, alongside confidence with good data engineering practices and patterns.

Nice To Haves

Familiarity with our specific stack: Snowflake, DBT, Airbyte, Dagster, AWS
Experience with Salesforce or other CRM systems
Background in a regulated industry (finance, healthcare, etc.)
Experience working for companies in Europe / US, directly or through a consulting firm, is a considerable plus.

Responsibilities

Designing, building, and maintaining data pipelines, writing SQL, building ETL/ELT jobs, and integrating data from multiple internal systems into our data warehouse.
Owning data modelling for regulatory reports: making sure the underlying data is structured, accurate, and well documented, and keeping pipelines resilient as source systems change.
Building data-quality checks into pipelines as standard practice, so issues are caught automatically rather than discovered after the fact, applied here to data with firm deadlines.
Migrating some data processes off an older CRM-based system (Salesforce/Conga) onto our modern data stack, following an approach already used successfully elsewhere in the business.
Collaborating with the Product Development team on data/schema changes that affect this reporting, and with compliance colleagues on the business logic behind the numbers.