The Role
Lead and grow a distributed data engineering team; own ingestion roadmap and delivery of clean, modeled BigQuery datasets; enforce CI/CD and IaC standards; operate platform observability, incident response, and GCP cost governance; manage stakeholders and EU data-locality requirements.
Summary Generated by Built In
Are you ready to join our digital revolution journey?
At Aleph, we’re not just part of the digital advertising landscape—we’re shaping its future. Representing the world’s leading platforms, including TikTok, Amazon, Google, and nearly 55 others, we operate in 130+ markets across new and existing geographies.
Our mission is to empower advertisers and brands to unlock the full potential of these platforms' advertising capabilities. By fostering long-lasting partnerships, we create limitless opportunities for people and businesses to advertise effectively at both local and global levels.
With a presence spanning continents, Aleph offers you the chance to be part of a fast-growing, innovative team where your work makes a direct impact. If you’re ambitious, forward-thinking, and eager to thrive in a dynamic, global environment, Aleph is the perfect place to build your career.
About the role
You will lead a distributed team of data engineers who build and operate these ETL pipelines. You own the ingestion roadmap, prioritize across source-system owners and data consumers, and ensure the data landing in BigQuery is trustworthy, well-modeled and easy to consume.
You will lead a distributed team of data engineers who build and operate these ETL pipelines. You own the ingestion roadmap, prioritize across source-system owners and data consumers, and ensure the data landing in BigQuery is trustworthy, well-modeled and easy to consume.
What you'll do:
- Lead the team: manage, coach and grow a distributed team of data engineers; run sprint planning and delivery cadence; own hiring and performance.
- Own the ingestion roadmap: translate source-system and consumer needs into prioritized pipeline deliverables; run intake from source-system owners (SAP, Salesforce, Workday, OneStream, platform APIs).
- Deliver clean, usable BigQuery datasets: enforce the zone model, consistent naming, partitioning and modeling (OBT, star schema); set data-quality gates at ingestion and data contracts with consumers.
- Drive engineering practices: own CI/CD, Infrastructure-as-Code standards, and the Architectural Decisions process.
- Operate the platform: own observability, incident response, the support/SLA model, and GCP cost governance.
- Manage stakeholders: be the single point of contact for source-system owners and downstream data consumers; honor EU data-locality constraints.
What we are looking for:
- 5+ years in data/analytics engineering, with experience leading a data engineering team.
- Proven delivery on Google Cloud: BigQuery, Cloud Storage, Cloud Run, Composer/Airflow, Dataform (or dbt-equivalent).
- Strong grasp of ELT/ETL design, multi-zone lake/warehouse architectures, dimensional & OBT modeling, and data-quality frameworks.
- Hands-on experience ingesting from ERP/CRM/HR systems (SAP, Salesforce, Workday) and REST APIs.
- Product/roadmap chops: backlog management, prioritization across stakeholders, clear requirements; Jira/Confluence fluency.
- Solid SQL; comfortable reading Python pipelines; Git-based CI/CD (Bitbucket/GitHub).
- Background supporting Finance analytics (AP/AR, trial balance, master data, FX).
- Exposure to ad-tech platform APIs (Meta/TikTok/Google/Spotify).
- Dataflow/Dataproc for heavier workloads; Datastream/CDC for real-time ingestion.
- GDPR and EU data-locality awareness.
- Outcome-oriented — measured by datasets delivered and trusted, not tickets closed.
- Comfortable as both product voice and technical escalation point.
- Bias toward clear documentation, naming and contracts over tribal knowledge.
Nice-to-have
How you work
In line with the EU Pay Transparency Directive, we are committed to fair and open compensation practices. For this role, the minimum gross annual base salary is EUR 55,000 EUR.
In addition to base salary, this role includes a variable component, paid annually. The final offer will reflect your experience, skills, and the scope of the role.
#ALEPH
Why Join Us?
Aleph is a place of many cultures, perspectives, and talents. We support each other, creating an environment of giving and receiving. We value partnership and communication because we believe it takes a group of people to achieve great things. We are energized by our ever-changing industry, our curiosity keeps us learning and seeking out new opportunities.
We stay flexible and adaptable, and believe in moving with the speed of change. We encourage everyone to strive for more, providing our internal talent with growth opportunities and the ability to learn together.
#ALEPH
Skills Required
- 5+ years in data/analytics engineering with experience leading a data engineering team.
- Proven delivery on Google Cloud: BigQuery, Cloud Storage, Cloud Run, Composer/Airflow, Dataform or dbt-equivalent.
- Strong grasp of ELT/ETL design, multi-zone lake/warehouse architectures, dimensional and OBT modeling, and data-quality frameworks.
- Hands-on experience ingesting from ERP/CRM/HR systems (SAP, Salesforce, Workday, OneStream) and REST/platform APIs.
- Product and roadmap skills: backlog management, stakeholder prioritization, Jira and Confluence fluency.
- Solid SQL; comfortable reading Python pipelines; Git-based CI/CD experience (Bitbucket/GitHub).
- Experience owning CI/CD, Infrastructure-as-Code standards, observability, incident response, support/SLA models, and GCP cost governance.
- GDPR and EU data-locality awareness.
- Background supporting finance analytics (AP/AR, trial balance, master data, FX).
- Exposure to ad-tech platform APIs (Meta, TikTok, Google, Spotify).
- Experience with Dataflow/Dataproc for heavy workloads and Datastream/CDC for real-time ingestion.
Aleph Group, Inc Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Aleph Group, Inc and has not been reviewed or approved by Aleph Group, Inc.
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Wellbeing & Lifestyle Benefits — Feedback suggests flexible working hours and hybrid/remote options are available in multiple markets. These arrangements are valued by some as part of the overall package.
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Strong & Reliable Incentives — Feedback suggests a decent bonus structure exists in some groups, contributing meaningful variable compensation. This helps certain roles view total pay more favorably.
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Fair & Transparent Compensation — In specific teams and locations, pay is described as fair or decent relative to expectations. This indicates pockets where cash compensation feels competitive.
Aleph Group, Inc Insights
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The Company
What We Do
Aleph is a team of digital experts, growing markets around the world. Our solutions make local and global advertising possible, without limits. Our teams are equipped with the local knowledge and global capabilities to get tens of thousands of businesses up and running on digital media and advertising platforms. By connecting advertisers with top digital media platforms, Aleph is shaping the future for businesses big and small. When local markets have access to global digital capabilities, economies rise. The world of global digital advertising is always transforming; we’ve built our offerings to evolve and solve at pace. With our proprietary technologies and support from our fast-moving teams, our partners stay ahead of what’s next. We’re a global tech company powered by local experts. Aleph: Digital advertising for all
