About us - Slalom
Slalom is a purpose-led, global business and technology consulting company. From strategy to implementation, our approach is fiercely human. In six countries and 45 markets, we deeply understand our customers—and their customers—to deliver practical, end-to-end solutions that drive meaningful impact. Backed by close partnerships with over 400 leading technology providers, our 13,000+ strong team helps people and organisations dream bigger, move faster, and build better tomorrows for all. We’re honoured to be consistently recognised as a great place to work by Glassdoor and being one of Fortune’s 100 Best Companies to Work For seven years running.
Since opening our doors in London in 2014, and then the launch of our Manchester office in 2019, it’s been an unforgettable journey. What’s more, we’re at an exciting stage of our growth in the UK, and now Ireland, with our first office launching in Dublin this year and we’re looking for great people who want to be part of that adventure. Our employees are at the heart of delivering impactful and meaningful work for our clients and helping them to reach for and realise their vision.
Snowflake Data Engineer
Slalom is seeking an experienced Snowflake Data Engineer to contribute to its growing Data & Analytics practice. The ideal candidate is a professional with experience in designing, developing, validating and communicating enterprise data solutions using Snowflake / AWS / Azure. Deep experience in developing enterprise data management strategies including data lake / warehouse implementations, data movement, data services, data acquisition, data conversion, and archive / recovery.
What will you do?
- Design and implement “best-in-class” modern data solutions for our clients
- Analyse, recommend and select technical approaches for solving challenging development and integration problems for clients.
- Explore emerging technology vendors / features and recommend / advise clients on solution options.
Requirements
- At least 6-8 years experience as a data engineer and 3+ years hands‑on experience in Snowflake.
- In‑depth understanding of Snowflake data platform capabilities and features.
- Strong experience in building enterprise‑graded data pipelines on Snowflake. Experience in various data ingestion and transformation patterns including realtime processing, CDC, and API ingestion.
- Experience in delivering greenfield projects including infrastructure / environment set‑up on Snowflake.
- Strong data engineering experience delivering end‑to‑end projects on cloud AWS / Azure.
- Strong SQL and Python skills.
- Experience in modern data stack tools like DBT, Airflow / Dagster, etc.
- Experience in CI / CD tooling.
- Experience in data architecture concepts such as dimensional modelling, data vault, data mesh.
- Good understanding of data management and governance concepts such as data quality, metadata management, etc.
- Knowledge of data science and visualisation.
- Must have Snowflake SnowProCore Certification.
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