- Work closely with the business users and other analyst engineers to deliver scalable, lean and flexible solutions for data ingestion, processing and quality control
- Build relationships with internal Data Analysts and Stewards to drive a "Self Service" approach for end-to-end data pipelines
- Work with application, and data architects to propose and develop solutions while driving transformational initiatives
- Research, identify, and internally market enabling technologies based on business requirements during the journey from indentation to implementation
- Stay abreast of emerging technologies and proactively assess and evaluate the adoption thereof into the organization
- Collaborate with experts in the field to bring in best practices in various technologies and tools
- Bachelor's degree in Computer Science or equivalent combination of technical education and work experience
- Several years of experience in data engineering with exposure to data analytics and data science teams
- Deep hands-on technical expertise & experience in data engineering and data lake design
- Detailed understanding of database systems and big data processing technologies in the cloud (preferably GCP)
- Advanced knowledge of SQL and Python
- Knowledge of AirFlow, Spark, BigQuery and Looker is an added advantage
- Solid communication, presentation, and leadership skills
- Professional skills in coding and automated testing
- Strong technical skills with a data mindset
- Passion for Data Engineering
- Ability and desire to engage and collaborate with diverse set of stakeholders
- Problem-solving oriented attitude
- Flexible and thriving in a dynamic, fast-paced environment
- A modern office in the heart of Berlin and flexible options for remote work
- Numerous benefits such as a free BVG job ticket, an annual Headspace membership, a reduced-price membership for Urban Sports, discounts for Bertelsmann employees etc.
- Ongoing training opportunities on our internal platforms BMG Campus and Bertelsmann University
- Long-term career opportunities for all employees
- A collaborative work environment with an open, appreciative community of people who all share the same passion for working with artists and songwriters
- Our unique corporate culture based on strong values and mutual support that make us a great team
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Analytics Engineer - Berlin, Deutschland - 2019
Beschreibung
Founded in 2008, BMG has become the fourth-largest music publisher worldwide. Our success and competitive edge are rooted in our founding values of fairness, transparency, and service. Our mission is clear: to empower artists and songwriters to maximize the potential of their songs and recordings in the digital era.
We are looking for a passionate Analytics Engineer (f/m/d) to join our global Technology & Operations team in our headquarters in Berlin. As a Analytics Engineer, you are a thorough and a highly flexible, unreserved team player and a communicator, keen to be part of the world's fastest-growing music company, BMG. You understand the music industry as a whole and are also able to dive into details as and when required.
Your Tasks
Your Skillset
Your Mindset
What We offer
This Is Us
As the great Kurt Cobain once said, "Come as you are." BMG is committed to providing equal employment opportunities for all employees. We value diversity in all forms. Equal opportunity is deeply rooted in our core value of fairness, and we are committed to creating a truly inclusive work environment where everyone can thrive. If you're good at what you do, come as you are Whether you're an experienced professional or just starting out, we welcome you to join our team.
All applicants to BMG are treated equally - regardless of age, disability, gender identity or expression, sexual orientation, marital status, pregnancy or parenthood, ethnic origin, colour, nationality, religion or belief.
(BMG is publishing Kurt Cobain's catalog, including the 1992 single 'Come As You Are.')
Unternehmen: BMG RIGHTS MANAGEMENT GmbH - Corporate
Land: Germany
Region: Berlin
Stadt: Berlin
Postleitzahl: 10117
Job ID: 269650