Data Governance Engineer; Data Governance Team

Data Governance Engineer (Data Governance Team)

Analytics Poland

We are looking for a highly collaborative and technically strong Data Governance Engineer to help scale and mature governance practices across our Analytics ecosystem. This role is ideal for someone who combines hands‑on engineering capabilities with a systems‑thinking mindset and a strong focus on operational excellence.

Design, implement, and continuously improve governance frameworks for data integrations, including data cataloging, ownership models, SLAs, and lifecycle management.

Establish and operationalize clear ownership structures, prioritization mechanisms, and incident management processes for data sources within the integration layer of the data warehouse.

Partner with business and technical stakeholders to identify high‑impact use cases and define data contracts that improve the quality, reliability, and stability of critical reporting assets.

Drive the adoption and operationalization of Data‑as‑a‑Product practices across the Analytics Division.

Promote, enable, and support Data Governance and Data Quality standards, best practices, and scalable control mechanisms.

Contribute hands‑on to the development and maintenance of governance infrastructure, orchestration capabilities, metadata platforms, and automation solutions.

Collaborate cross‑functionally with Analytics, Data Engineering, Platform, and business teams to ensure alignment, accountability, and consistency across the data ecosystem.

Proactively identify governance gaps, operational risks, and improvement opportunities to strengthen the stability and robustness of the Analytics environment.

3+ years of experience in Data Analytics, Data Engineering, Data Ops, or similar data‑focused roles.

2+ years of experience in Data Governance, Data Stewardship, Data Management, or related areas.

Strong SQL skills and working knowledge of Python.

Understanding of data architecture, data integration patterns, data pipelines, and data warehouse concepts.

Experience working with data catalogs, lineage tools, metadata management systems, or governance platforms.

Experience defining or supporting data SLAs, data contracts, operational processes, or incident management workflows.

Experience collaborating with cross‑functional stakeholders in data‑intensive environments.

Strong stakeholder management and collaboration skills across technical and business teams.

Effective communication skills with the ability to align teams around governance standards and processes.

Ownership mindset with the ability to drive initiatives end‑to‑end and proactively resolve issues.

Strong structured thinking and ability to operate effectively in ambiguous or evolving environments.

Proactive problem‑solving approach with focus on scalability, reliability, and continuous improvement.

Experience with modern data stack tools such as dbt, Airflow, Big Query, Open Metadata, or similar technologies.

Familiarity with cloud‑based data platforms and services (AWS, GCP, or Azure).

Familiarity with AI‑assisted engineering and productivity tools (e.g., Cursor, Claude Code, Codex, or similar).

Unlimited PTO

Hobby & team building budget allowance

Employee Support Program

Loss of family member financial aid

Employee Resource Groups

Semrush is an equal opportunity employer. Building a better future for marketers around the world unites people from all backgrounds. Even if you feel that you don’t 100% match all requirements, don’t be discouraged to apply! We are committed to ensure that everyone feels a sense of belonging in the workplace.
We do not discriminate based upon race, religion, creed, color, national origin, sex, pregnancy, sexual orientation, gender identity, gender expression, age, ancestry, physical or mental disability, or medical condition including medical characteristics, genetic identity, marital status, military service, or any other classification protected by applicable local, state or federal laws.