Hybrid Senior Data Engineer Senior Data Engineer with verification

CoachHub is on a mission to democratise coaching for all career levels worldwide. We need an amazing team to achieve this, so we’re bringing together kind, smart and highly-skilled people from all corners of the globe.If you'd like to shape the success story of a fast-growing, award-winning company and the leading global digital coaching platform - get in touch! About The Data & Insights TeamWe a remote first team (Spain, France, Germany, Austria, Italy). The team is composed of a group of talented Data Engineers, Machine Learning Engineers and Full Stack Engineers. This allows us to bring different perspectives, experiences, and ideas to the table, making our work richer and more impactful.We work in "tribes" which are composed by multidisciplinary colleagues (product managers, analysts, and engineers). Depending on the tribe we use Scrum or Kanban. Your work will have a direct impact on our products, our customers, and our success as a company. We're looking for someone who is passionate about making a differenceWhat We Value

• Autonomy
• Proactiveness
• Learning from Mistakes
• Making an Impact
• Collaboration

Our Golden Rules

• Move Fast (Iterate)
• With High Quality
• And true ownership

PositionWe are seeking an experienced and talented Senior Data Engineer to join our dynamic team. As a Senior Data Engineer, you will play a key role in designing, implementing, and maintaining our data architecture and infrastructure.Location: remote within the EUResponsibilities

• Design, implement, and maintain scalable and efficient data architectures to support the company's data needs.
• Develop and implement data models, ensuring data accuracy, consistency, and reliability.
• Create and optimize ETL processes to extract, transform, and load data from various sources into our data warehouse.
• Implement and enforce data quality standards, ensuring the accuracy and completeness of the data.
• Monitor and optimize the performance of data pipelines and queries.
• Create and maintain comprehensive documentation for data engineering processes, data models, and systems.
• Work closely with data analysts, data product managers and other stakeholders to understand and address their data requirements.

Requirements

• Proven professional data engineering experience.
• Proficient in SQL and experience with relational and column databases (e.g., PostgreSQL, Redshift respectively).
• Strong programming skills in Python.
• Experience with cloud platforms (AWS).
• Experience with data modeling, ETL processes, and data warehousing concepts.
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration skills.
• Ability to work independently and as part of a team in a fast-paced environment.

Preferred Qualifications

• Experience in the use of AWS Lambda, EKS, API Gateway, S3, CDK, Airflow, dbt, Git
• Familiarity with data governance and compliance standards.
• Knowledge of machine learning concepts and frameworks.
• Generative AI enthusiast

About CoachHubCoachHub is the leading global talent development platform that enables organizations to create a personalized, measurable and scalable coaching program for the entire workforce, regardless of department and seniority level. By doing so, organizations are able to reap a multitude of benefits, including increased employee engagement, higher levels of productivity, improved job performance and increased retention.CoachHub’s global pool of coaches is comprised of over 3,000 certified business coaches in 70 countries across six continents with coaching sessions available in over 60 languages, to serve more than 500 clients.Our programs are based on advanced R&D from our Coaching Lab. CoachHub is backed by leading tech investors, including Draper Esprit, Holtzbrinck Ventures, Partech, RTP Global, Signals Venture Capital, Sofina, Softbank and Speedinvest.As of 2022, CoachHub is a certified Carbon Neutral Company. Find out more about CoachHub’s dedication to positive impact at www.coachhub.com/esg.