Negotiable
Undetermined
Remote
United Kingdom
Summary: This role is for a hands-on Project Manager specializing in data or analytics engineering projects, responsible for the delivery of data engineering initiatives. The position involves collaborating with technical teams and business stakeholders, translating discussions into actionable tasks, and maintaining project roadmaps. The role requires effective communication and facilitation of agile ceremonies while supporting various data-related projects. This is a remote contract position based in the US, offering 10–20 hours of work per week with potential for long-term collaboration.
Key Responsibilities:
- Lead and manage data engineering project delivery, ensuring timelines and priorities are maintained
- Collaborate with data engineers and business stakeholders to define project scope and requirements
- Break down work into clear, actionable tasks with acceptance criteria
- Run sprint planning, daily standups, and retrospectives (or lightweight alternatives)
- Track project timelines, risks, and dependencies, proactively addressing blockers
- Maintain a simple, up-to-date project roadmap
- Provide concise status updates to stakeholders
- Support process improvement and documentation efforts
- Oversee projects involving data pipelines, APIs, integrations, data warehousing (Snowflake, BigQuery, Redshift, dbt), and data quality monitoring
Key Skills:
- Proven experience managing projects with data or analytics engineering teams
- Strong understanding of technical concepts such as SQL, data schemas, ETL/ELT pipelines, and data warehousing
- Excellent organizational and communication skills, with the ability to translate technical discussions into clear tasks
- Experience with agile methodologies and running sprint ceremonies
- Ability to track and manage project risks, dependencies, and deliverables
- Comfortable working remotely and independently
- Based in the United States
- Availability for 10–20 hours per week, with a preference for long-term engagement
Salary (Rate): undetermined
City: undetermined
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
This role is ideal for a hands-on Project Manager with a strong background in data or analytics engineering projects. You will be responsible for ensuring the smooth delivery of data engineering initiatives, working closely with technical teams and business stakeholders. The position requires someone who can translate discussions into actionable tasks, maintain a clear project roadmap, and communicate progress effectively. You will facilitate sprint planning, daily standups, and retrospectives, adapting processes as needed to fit the team's workflow. The work involves supporting projects such as data pipelines (ETL/ELT), APIs, integrations, data warehousing, modeling, and data quality monitoring. This is a remote, US-based contract role, starting at 10–20 hours per week, with the potential for long-term collaboration.
Responsibilities
- Lead and manage data engineering project delivery, ensuring timelines and priorities are maintained
- Collaborate with data engineers and business stakeholders to define project scope and requirements
- Break down work into clear, actionable tasks with acceptance criteria
- Run sprint planning, daily standups, and retrospectives (or lightweight alternatives)
- Track project timelines, risks, and dependencies, proactively addressing blockers
- Maintain a simple, up-to-date project roadmap
- Provide concise status updates to stakeholders
- Support process improvement and documentation efforts
- Oversee projects involving data pipelines, APIs, integrations, data warehousing (Snowflake, BigQuery, Redshift, dbt), and data quality monitoring
Skills And Requirements
- Proven experience managing projects with data or analytics engineering teams
- Strong understanding of technical concepts such as SQL, data schemas, ETL/ELT pipelines, and data warehousing
- Excellent organizational and communication skills, with the ability to translate technical discussions into clear tasks
- Experience with agile methodologies and running sprint ceremonies
- Ability to track and manage project risks, dependencies, and deliverables
- Comfortable working remotely and independently
- Based in the United States
- Availability for 10–20 hours per week, with a preference for long-term engagement
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