Senior Data Engineer

Описание

We are looking for a highly autonomous Senior Data & ML Engineer who wants to be the true owner of how data works for the teams they support, delivering solutions completely end-to-end, from initial scoping and design through to delivery, implementation, and full business adoption.

Responsibilities

• Design, build, and maintain data pipelines and transformations on Databricks using Python, PySpark, and SQL.
• Deploy, operationalize, and monitor machine learning models (MLOps) in production environments.
• Build and maintain data marts as the primary source of truth for key business domains.
• Apply data modelling practices (e.g., dimensional modelling, medallion architecture) to maintain data consistency and reusability.
• Act as the primary data partner for specific business areas, understanding their processes, goals, and pain points.
• Deliver end-to-end solutions, managing scoping, discovery, design, delivery, user adoption, and iteration.
• Gather and translate business requirements into technical solutions.

Requirements

• 5+ years of experience as a Data/ML Engineer, with a track record of independently owning data/ML solutions from scoping to adoption.
• Proficiency in Python, SQL, and PySpark/Spark.
• Experience with modern data platforms, such as Databricks (Delta Lake, Unity Catalog, MLflow, workflows).
• Stakeholder management skills, with the ability to navigate commercial and engineering discussions, manage expectations, and drive cross-functional decisions.
• Data modelling skills and experience designing data marts for analytics and reporting.
• Experience building production pipelines with orchestration, testing, monitoring, and version control.
• Experience with BI tools (e.g., Preset, Tableau, Metabase, Power BI) and data usability principles.
• Demonstrated accountability for project outcomes and commercial impact.