Analytics Engineering Team Lead
Poland
- Pay
- Pay not listed
- Work setting
Remote — work setting source
Work setup in the employer’s posting: remote
From the employer’s posting- Employment
Full-time — employment source
Employment type Full-time
Employment type in the employer’s posting: Full-time
From the employer’s posting
What you’ll work on
Full postingDesign, build and evolve SQL-based models and metric definitions so that one number means one thing across all our products.
From the employer’s posting
Lead and grow the team. Set priorities, coach, and keep a steady delivery rhythm across analytics engineering and web analytics. Own the semantic layer. Design, build and evolve SQL-based models and metric definitions so that one number means one thing across all our products. Raise data curation and automate the routine. Move the team from ad hoc requests to reusable, tested, documented datasets that people and our AI data assistant can query directly, with tracking checks and data-quality monitoring on autopilot.
What you’ll bring
All qualificationsCore experience
- 5+ years in analytics, data or BI engineering, including 2+ years leading a team or leading others technically.
- Data modeling and pipelines.
- Leadership and ownership.
Qualification wording
Experience. 5+ years in analytics, data or BI engineering, including 2+ years leading a team or leading others technically.
Data modeling and pipelines. You design warehouse and mart models that several teams build on, including a semantic layer, and choose the methodology (star schema, Data Vault or equivalent) to fit the queries it must serve. You optimize and troubleshoot pipelines on a cloud stack such as AWS (Athena, Redshift, Glue) and orchestration tools such as Airflow.
Leadership and ownership. You own complex team-level projects, make high-impact decisions from complex information, coach people by spotting skill gaps and giving regular feedback, set clear scope expectations, and turn change into actionable steps for the team.
Tools in this posting
- Python
- SQL
- AWS
- dbt
- Redshift
- Airflow
Source — Tool mentions in context
- Experience. 5+ years in analytics, data or BI engineering, including 2+ years leading a team or leading others technically. - Expert SQL and Python. You set query and performance standards others follow, rewrite expensive queries and explain the trade-offs, handle incremental loads, deduplication and slowly changing dimensions, and own production Python components that other teams depend on. - Data modeling and pipelines. You design warehouse and mart models that several teams build on, including a semantic layer, and choose the methodology (star schema, Data Vault or equivalent) to fit the queries it must serve. You optimize and troubleshoot pipelines on a cloud stack such as AWS (Athena, Redshift, Glue) and orchestration tools such as Airflow.
- Lead and grow the team. Set priorities, coach, and keep a steady delivery rhythm across analytics engineering and web analytics. - Own the semantic layer. Design, build and evolve SQL-based models and metric definitions so that one number means one thing across all our products. - Raise data curation and automate the routine. Move the team from ad hoc requests to reusable, tested, documented datasets that people and our AI data assistant can query directly, with tracking checks and data-quality monitoring on autopilot.
- Expert SQL and Python. You set query and performance standards others follow, rewrite expensive queries and explain the trade-offs, handle incremental loads, deduplication and slowly changing dimensions, and own production Python components that other teams depend on. - Data modeling and pipelines. You design warehouse and mart models that several teams build on, including a semantic layer, and choose the methodology (star schema, Data Vault or equivalent) to fit the queries it must serve. You optimize and troubleshoot pipelines on a cloud stack such as AWS (Athena, Redshift, Glue) and orchestration tools such as Airflow. - Engineering discipline. You set branching and code review standards, require schema and data tests and CI before release, and lead risky changes with a clear rollout and rollback plan.
- Communication. You clarify complex ideas, build consensus across teams and time zones, and communicate in fluent English. - Nice to have: experience with dbt or a similar transformation framework (we may adopt one); web analytics and tracking (GTM, GA4); B2B SaaS or document-workflow / e-signature background. What we offer
Benefits in the posting
Full benefits wording- Flexible working environment - Our teams operate across the globe. We value in‑person collaboration in our hubs, but we also embrace remote and hybrid working. You can work from one of our offices in the United States, Poland, Romania or Ukraine, or remotely from many countries.
- Competitive compensation and stock options - We offer salaries that reflect local market conditions and experience, plus a performance-based bonus system and stock options so you share in the company’s growth.
- Health and well‑being - We provide comprehensive benefits tailored to each country, including health coverage, wellness programmes and access to fitness options. We also dedicate quarterly company-wide Mental Health Days, when everyone takes time off to rest and recharge.
- It is airSlate's policy to comply with all applicable equal employment opportunity laws by making all employment decisions without unlawful regard or consideration of any individual’s race, religion, ethnicity, color, sex, sexual orientation, gender identity or expressions, transgender status, sexual and other reproductive health decisions, marital status, age, national origin, genetic information, ancestry, citizenship, physical or mental disability, veteran or family status or any other basis protected by applicable national, federal, state, provincial or local law. airSlate's policy prohibits unlawful discrimination based on any of these impermissible bases, as well as any bases or grounds protected by applicable law in each jurisdiction. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. airSlate is pleased to provide such assistance and no applicant will be penalized as a result of such a request. Pursuant to relevant law, where applicable, airSlate will consider for employment qualified applicants with arrest and conviction records.
- Employment type
- Full-time
From the employer’s posting.
About Airslate
airSlate is a global SaaS technology company that develops no-code workflow automation, electronic signature, and document management solutions.
In the employer’s words · Read in context
Posting record
Report an errorActively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 29, 2026 · today
- Recorded sightings
- 2
- Last seen by us
- Oct 30, 2026
- Employer says posted
- Oct 27, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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Job description
We are looking for a hands-on leader to run Data Enablement. The team that owns how our data is modeled, trusted, and made ready for the business and for AI. You will lead analytics engineers and web analytics specialists, own the semantic layer end-to-end, and turn raw product and event data into curated, well-documented datasets that people can rely on.
WHAT YOU WILL DO:
- Lead and grow the team. Set priorities, coach, and keep a steady delivery rhythm across analytics engineering and web analytics.
-
Own the semantic layer. Design, build and evolve SQL-based models and metric definitions so that one number means one thing across all our products.
-
Raise data curation and automate the routine. Move the team from ad hoc requests to reusable, tested, documented datasets that people and our AI data assistant can query directly, with tracking checks and data-quality monitoring on autopilot.
-
Set standards and partner across the data organization. Modeling conventions, version control, testing and release practices, code review; work with Data Business Partners, Data Science / ML and Data Platform on scope and ownership. Stay close to the code on critical builds.
WHAT WE ARE LOOKING FOR:
- Experience. 5+ years in analytics, data or BI engineering, including 2+ years leading a team or leading others technically.
- Expert SQL and Python. You set query and performance standards others follow, rewrite expensive queries and explain the trade-offs, handle incremental loads, deduplication and slowly changing dimensions, and own production Python components that other teams depend on.
- Data modeling and pipelines. You design warehouse and mart models that several teams build on, including a semantic layer, and choose the methodology (star schema, Data Vault or equivalent) to fit the queries it must serve. You optimize and troubleshoot pipelines on a cloud stack such as AWS (Athena, Redshift, Glue) and orchestration tools such as Airflow.
- Engineering discipline. You set branching and code review standards, require schema and data tests and CI before release, and lead risky changes with a clear rollout and rollback plan.
- Data quality and data fluency. You design validation that catches problems before stakeholders do, fix root causes rather than symptoms, set documentation standards, and investigate unfamiliar sources before trusting them.
- Business impact. You design solution options for complex problems, split cross-team work into pieces with a clear definition of done, build dashboards around the decision they support, and become a trusted partner to business leaders.
- AI in everyday work. You redesign team workflows around AI tools to drive adoption, and evaluate AI outputs for quality, privacy and bias.
- Leadership and ownership. You own complex team-level projects, make high-impact decisions from complex information, coach people by spotting skill gaps and giving regular feedback, set clear scope expectations, and turn change into actionable steps for the team.
- Communication. You clarify complex ideas, build consensus across teams and time zones, and communicate in fluent English.
- Nice to have: experience with dbt or a similar transformation framework (we may adopt one); web analytics and tracking (GTM, GA4); B2B SaaS or document-workflow / e-signature background.
Employment type
Full-time
Source details
Source notes
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- Pay
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- Location & working pattern
Poland
What we offer Flexible working environment - Our teams operate across the globe. We value in‑person collaboration in our hubs, but we also embrace remote and hybrid working. You can work from one of our offices in the United States, Poland, Romania or Ukraine, or remotely from many countries. Competitive compensation and stock options - We offer salaries that reflect local market conditions and experience, plus a performance-based bonus system and stock options so you share in the company’s growth.
- Work authorization
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