About the Role
As a Senior Data Engineer at Retailogists, you'll play a critical role in building and scaling our data infrastructure, both for internal tools and client-facing platforms. You’ll be responsible for designing and maintaining scalable data pipelines, enabling analytics, and contributing to a robust data platform that supports BI and AI workloads.
Responsibilities
Designing and maintaining high-quality ETL/ELT pipelines across multiple data sources
Modelling and transforming data for analytics use cases (data lakes, warehouses, semantic layers)
Supporting and building BI and analytics workflows, including metric definitions and dashboarding
Collaborating with engineers, analysts, and data scientists to deliver end-to-end solutions
Contributing to internal data platform components and reusable tooling
Working directly with clients to deliver end-to-end solutions and reports
Qualifications
5+ years of professional experience in data engineering or analytics engineering
Deep understanding of data engineering concepts: ETL, data lakes, data warehousing, orchestration
Advanced SQL skills – capable of writing efficient, scalable queries for large datasets
Proficiency with Spark and Pandas
Strong interest in analytics and BI – a significant part of this role involves analytics engineering
Deep experience with at least one BI tool (Metabase, Looker Studio, PowerBI etc.)
Experience with cloud-native data platforms (BigQuery, Snowflake, Redshift, etc.)
Familiarity with DBT and semantic layer modelling