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Analytics engineer

Dublin
TOM People Ireland
Engineer
Posted: 4 December
Offer description

Analytics Engineer – DBT / Snowflake

About Us

Our client is a leading financial services organisation in Ireland, currently undergoing a major data transformation programme. They are moving from legacy, on-premise infrastructure to a modern cloud data platform, enabling faster insights, improved reporting, and stronger data-driven decision making across the business.

The Role

We're looking for an
Analytics Engineer
to support the migration and rebuilding of BI datasets in a Snowflake environment. You will play a key role in transforming, reconciling, and preparing datasets for end users, ensuring high-quality insights through Power BI. This role is ideal for someone who wants to shape next-generation data workflows, work with modern cloud technologies, and influence how data is delivered across the organisation.

Key Responsibilities:

* Transform and standardise BI datasets from Snowflake fact and dimension tables.
* Build high-quality, business-ready datasets for use in Power BI.
* Manage data refresh schedules, alerts, and automated reporting processes.
* Ensure data quality through reconciliation, testing, and robust data controls.
* Collaborate with business teams to define datasets and build effective visualisations.
* Maintain clear documentation of data workflows, transformations, and models.
* Work closely with BI developers, analysts, and stakeholders to gather requirements.
* Support migration from legacy SQL Server datasets to Snowflake.
* Provide technical guidance on data engineering best practices and Snowflake features.

About You:

* Strong SQL skills with experience querying and optimising data in Snowflake.
* Proficiency in
dbt
for transformation and orchestration.
* Experience developing reports and data models in
Power BI
.
* Familiarity with SSIS for supporting dataset migration from SQL Server.
* Experience with
Python
or
R
for automation and data manipulation.
* Knowledge of GitHub or similar version control tools.
* Experience working with cloud platforms such as Azure.
* Excellent communication skills and ability to work with technical and non-technical teams.
* Strong analytical mindset, attention to detail, and commitment to data quality.
* Highly organised, adaptable, and comfortable working in a fast-paced, evolving environment.

Why Join?

Join a leading FS client that is modernising its entire data ecosystem. This is an exciting opportunity to work with cutting-edge cloud technologies, influence data strategy, and play a critical role in delivering high-quality insights across the business.

Location:
Dublin (Hybrid)

Employment Type:
Full-time, Permanent

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