About the Position

Data Operations Manager / Senior Data Engineer | Techbar

Location: Poland

Employment Type: Full-Time

Overview

You'll own the operational health of a modern data platform - the Snowflake warehouse, the dbt transformation layer, and the ELT pipelines feeding them. The role sits at the intersection of data engineering, platform operations, and team enablement: keeping the platform reliable and performant, keeping its cost under control, and raising the standard of how the wider data team works.

This is a hands-on role with real stakeholder exposure. You'll work across Data Engineering, Analytics, Finance, and Security rather than inside a single team.

Responsibilities

Platform Operations & Reliability

Own the operational health of the Snowflake environment - warehouse sizing, query performance optimisation, and cost management
Monitor and maintain dbt project health: model performance, test coverage, documentation standards
Ensure ELT pipeline reliability across ingestion tooling, with appropriate alerting and incident response
Manage data freshness SLAs and communicate proactively when issues arise

Cost & Resource Management

Monitor and optimise Snowflake credit consumption; identify inefficient queries and recommend warehouse configurations
Implement resource monitors, tagging strategies, and chargeback models where appropriate
Partner with Finance to forecast data platform costs and manage budget

Governance & Quality

Establish and enforce data quality frameworks using dbt tests, freshness checks, and anomaly detection
Maintain access control policies and ensure compliance with data governance requirements
Own incident management for data issues, including root cause analysis and prevention

Enablement & Process

Define and maintain operational runbooks for common tasks and incident response
Support engineers and analysts with dbt best practices, code review standards, and deployment processes
Champion observability tooling to give the team visibility into data health

Collaboration

Work with Data Engineering on infrastructure improvements and architectural decisions
Partner with Analytics and BI teams to understand consumer needs and prioritise reliability work
Coordinate with Security and Compliance on audit requirements and access reviews

Requirements

Must-Have

Extensive experience in data engineering, analytics engineering, or data platform roles
Strong hands-on Snowflake administration and SQL optimisation
Proficiency with dbt (Core or Cloud), including incremental models, macros, and testing frameworks
Experience operating ELT pipelines at scale (Fivetran, Airbyte, or custom solutions)
Understanding of DataOps principles and CI/CD for data - version control, automated testing, deployment pipelines
Strong stakeholder management and communication

Nice to Have

Data observability platforms: Monte Carlo, Elementary, Datafold
Orchestration tooling: Airflow, Dagster, Prefect
Cost optimisation for cloud data platforms
Data governance frameworks and compliance: GDPR, SOC 2

Tech Stack You'll Work With

Warehouse: Snowflake - administration, warehouse sizing, resource monitors, SQL optimisation
Transformation: dbt (Core or Cloud) - incremental models, macros, testing frameworks
ELT: Fivetran, Airbyte, Stitch or comparable ingestion tooling
DataOps: version control, automated testing, CI/CD for data
Observability: Monte Carlo, Elementary, dbt Cloud or similar
Orchestration: Airflow, Dagster, Prefect

Apply Now

Interested candidates are encouraged to apply now.

Data Operations Manager / Senior Data Engineer

Job description