Data Engineer

Quick Facts

• Role: Data Engineer

• Focus: Hands-on end-to-end data engineering for a financial-sector client; mentoring within a small autonomous team.

Description

You will work closely with client data owners to understand source systems and build reliable, aggregated datasets. The role covers designing and implementing data integration, transformation, and analytics pipelines, including validation and reconciliation to ensure data correctness and traceability to the source. You will also deliver dashboards and self-serve data views, and mentor a second engineer through collaborative problem-solving and code reviews.

Responsibilities

• Collaborate with data owners to discover, profile, and deeply understand source systems (e.g., ERP, fund administration systems, SharePoint, spreadsheets).

• Design and implement (hands-on) integration, transformation, and data pipelines.

• Model data for analytics and build validation and reconciliation mechanisms for full data correctness and traceability.

• Create and deliver analytics dashboards and self-serve views, explaining data-flow complexity to non-technical stakeholders.

• Shape the target data architecture and make pragmatic build-vs-buy technology decisions.

• Mentor and provide technical support to a second engineer via joint problem-solving and code review.

• Promote security and data quality standards; implement reusable integration patterns into the main platform.

Requirements

• Documented strong experience with Databricks and/or Snowflake (pipeline design, data modeling, performance optimization).

• Excellent SQL skills and practical Python programming knowledge.

• Deep understanding of ETL/ELT and data modeling.

• Proven experience in validation and reconciliation of structured and semi-structured data.

• Experience with data visualization tools (e.g., Power BI, Sigma).

• Finance domain experience where reconciliation is critical (accounting, fund administration, audit, taxes, or regulatory reporting).

• Ability to work highly independently, lead technically, and communicate smoothly with the business.

• Fluent English at C1 level.

Benefits

• Stable B2B contract.

• High independence in choosing technologies and full ownership of the data stream you run.

• Opportunity to combine deep technical tasks with development of leadership and mentoring skills.