Product Owner driving ERP data migration initiatives for BioNTech’s global landscape. Leading effective data management and ensuring compliance with regulatory standards in a fast - paced environment.
About the role
- Senior Data Engineer driving sustainability through cost and climate intelligence at Spotify. Building scalable data infrastructure and optimizing cost practices for Spotify’s growth.
Responsibilities
- Be responsible for the design, implementation, and evolution of scalable, reliable data infrastructure that underpins Spotify’s cost and carbon intelligence.
- Own end-to-end data pipelines for cloud cost, usage, and emissions data: spanning ingestion, transformation, modeling, and serving layers.
- Partner deeply with Data Scientists, Engineering, Finance, and Procurement to translate sophisticated analytical and business needs into robust data architectures.
- Set technical direction and standards for data modeling, orchestration, testing, and observability within the Cost Engineering domain.
- Build and maintain curated, analytics-ready datasets that power executive reporting, forecasting, and optimization initiatives.
- Ensure data accuracy, consistency, and timeliness for high-stakes cost and emissions reporting used to guide strategic infrastructure investments.
- Proactively identify opportunities to improve the scalability, reliability, and cost efficiency of the data platform itself.
- Mentor other engineers and act as a technical sounding board, raising the overall bar for data engineering perfection on the team.
- Work across all Missions at Spotify to embed cost and climate awareness into decision-making, with a focus on accurate attribution of spend and carbon impact.
Requirements
- A senior data engineer with a strong track record of owning and operating production-critical data systems end to end.
- Hold a degree in computer science, engineering, or a related technical field, or equivalent proven experience.
- Experienced in designing data architectures that scale with both data volume and organizational complexity.
- Comfortable leading technical discussions, influencing build decisions, and aligning partners around long-term solutions.
- Thrive in environments with evolving requirements, balancing speed of delivery with adaptability and correctness.
- Strong communicator who can explain sophisticated technical concepts clearly to both technical and non-technical audiences.
- Familiar with financial, billing, or usage data, and able to connect infrastructure metrics to real business and sustainability impact.
- Hands-on experience with cloud data platforms (GCP preferred).
- Highly proficient with Python, SQL, DBT, and modern orchestration frameworks and experienced with data quality and observability tooling.
- Experience with at least one data processing framework such as Spark, Flink, or Dataflow
Benefits
- health insurance
- six month paid parental leave
- 401(k) retirement plan
- monthly meal allowance
- 23 paid days off
- 13 paid flexible holidays
- paid sick leave
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Data Engineer II leading development and delivery of data pipelines for Syneos Health. Collaborating with teams to optimize data processing and integrate solutions into production environments.
Lead Data Engineer overseeing data operations and analytics engineering teams for OneOncology. Focused on operational excellence in data platform and model reliability for cancer care improvement.
Senior AWS Software Data Engineer at Boeing focusing on AWS Data services to support digital analytics capabilities. Collaborating with cross - functional teams to design, develop, and maintain software data solutions.
Senior Data Engineer designing and improving software for business capabilities at Barclays. Collaborating with teams to build a data and intelligence platform for Equity Derivatives.
Senior AI & Data Engineer developing and implementing AI solutions in collaboration with clients and teams. Working on projects involving generative AI, predictive analytics, and data mastery.
Consultant driving IA business growth in Deloitte's Artificial Intelligence & Data team. Delivering innovative solutions using data analytics and automation technologies.
Data Engineer responsible for managing data architecture and pipelines at Snappi, a neobank. Collaborating with teams to enable data processing and analysis in innovative banking solutions.
Data Engineer at Destinus developing the data platform to support production and analytics needs. Involves migrating Excel sources to Lakehouse and integrating ERP systems in a hybrid role.
Senior Data Engineer developing solutions within the Global Specialty portfolio at an insurance company. Engaging with diverse business partners to ensure high quality data reporting.