Data Engineer II

Distilled · Remote (Europe)

New this week Posted 6 Nov 2026; checked 7 Nov 2026.

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About the role

What’s the Opportunity

We’re looking for a Data Engineer II to help us turn the vast amounts of data generated by Ireland’s leading online marketplaces - Daft.ie, DoneDeal.ie and Adverts.ie - into useful insight for our users and employees.

In this role, you will build processes to ingest, store and transform the data so that it can be used for reporting and insights, to power features on our websites including predictive models.

How you’ll Create with Impact

Developing data pipelines and associated data transformations that support data production and consumption throughout the organisation

Ensuring our data is trusted by our data consumers, colleagues and partners and that we provide timely and appropriate data to support the business

Driving data modeling activities to simplify raw data into consumable data sets for end-users

Building and maintaining feature pipelines and training/scoring workflows for predictive models in production

Supporting the platform maintenance activities to ensure ongoing smooth operation

Collaborating with Daft and DoneDeal application development teams to provide the data needed for some data features for end users on our websites

Working with modern AI tooling such as Amazon Bedrock to power AI use cases on Daft and DoneDeal; and internal tooling for data self-serve

A collaborative spirit and growth mindset

At least 2 years proven data engineering experience, with some exposure to machine learning in production

Hands-on experience with SQL (DDL, DML) and Python in your role(s). (Most of our production systems are Java based, however the data team uses Python)

Experience with relational databases (Redshift, Postgres, MySQL).

Experience working on large-scale data warehousing and analytics projects, built on highly available, distributed systems

Experience working on large-scale data warehousing and analytics projects

Advantage if you have experience with

Building or productionising machine learning workflows in Python (e.g. scikit-learn, XGBoost) and a solid grasp of how to evaluate model performance

Cloud technologies. (We use AWS technologies such as Redshift, Lambda, Athena, S3, Kinesis, Glue, Bedrock and Sagemaker)

ML platforms and MLOps tooling (e.g. SageMaker, feature stores, model monitoring)

How we help you Thrive Here

We want you to do your best work and we’ll support you to do just that with:

Generous paid leave: Start with 22 days' annual leave, plus 3 company days over Christmas. Every August we take four Fridays off as "Thank You Days", our way of saying thanks for your hard work. Stay with us and you'll earn an extra day's leave on each of your first four anniversaries, up to 26 days.

Looking after you: Your Irish Life Healthcare is fully paid for, and we run regular health and wellbeing talks, events and activities all year.

Investing in your future: We contribute 5% to your pension through our contributory scheme, so you can plan with confidence.

Work where it works for you: Split your time between home and our Dublin city centre office, a short walk from St Stephen's Green and St Patrick's Cathedral.

Get around your way: Save on your commute with the TaxSaver Commuter Scheme, or hop on a bike with the Bike to Work Scheme.

Grow with us: Learning never stops here. Everyone has a personal development plan to support their career growth.

Our Values & Shared Behaviours

We have five core values: We have a growth mindset. We like to simplify things and make things happen. We collaborate across teams, business units and brands. We’re passionate about what we do.

Continued in Distilled’s original posting ↗.

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