Data Engineering Lead
Data Engineering Lead
Posted on :
15-03-2025
Employer Active
1 Vacancy
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Job Description
About employer
Do you want to devise the data strategy in G2A
Define the vision of platforms as products which make data analysis easier for other teams
Cooperate with IT leaders on building the technological strategy of the company
Do you know what a productoriented approach is and enjoy working with people
If your answer to all these questions is yes wed like to invite you to work with us!
Your responsibilities:
- Leading the Data Teams to deliver highly efficient and scalable data processing solutions
- Opportunity to build your own team
- Real impact on products development and full ownership over them
- Impact on G2As strategy
- Supporting teams in translating objectives into refined backlog of tasks and activities
- Implementing best practices for data management and quality assurance
- Developing clear communication between the data teams and the rest of the organization
- Designing and maintain complete companywide analytical data architecture
- Supporting the teams in architecturerelated decisionmaking as a technical advisor
- Daily cooperation with the Business and the Product department
- Expecting solutions grounded in transparent research and technical experience
- Remind teams of the company standards and technology department best practices
- Maintaining and developing positive work culture within the team
- Performing administrative tasks according to company policy towards managers
- Constantly research bleedingedge tech solutions
Youre a perfect match for the role if:
- You have great knowledge and understanding of Big Data tech stack (Apache Flink Apache Spark Apache Kafka Apache Airflow)
- You have experience with Azure Databricks
- You are proficient in Golang language
- You are proficient in Googles stack (Google Big Query Google Analytics 4 Google Tag Manager Serverside)
- You are proficient in Microsofts stack (MS SQL MS SSIS and PowerBI)
- You are proficient in tools like Kubernetes Tableau and Ceph
- You have great knowledge and understanding of Data Warehousing architecture patterns
- You understand concepts of High Availability and Scalability on all levels of data processing
- You have at least 4 years of experience in processing significant data volumes (DWH ETL Big Data streaming or batch processing)
- You have at least 2 years of experience in backend application development
- You have professional experience in a Data Engineering Lead or similar role
- Youre able to work in a team and the ability to motivate others to achieve goals
- You have excellent communication and interpersonal skills with the ability to effectively collaborate with crossfunctional teams
- You have a strategic and visionary approach
Why is joining us worth it
- Remote or hybrid workplace model
- We care about work life fit and the wellbeing of our team
- You receive all the necessary work resources such as a laptop and/or a phone
- We can provide and deliver ergonomic and electronic equipment for your home office such as footrests stability balls chair with back support monitor mousepad laptop docking station mouse keyboard headphones
- We provide an opportunity for realizing new ideas and appreciate them a lot
- We encourage the development of skills and competences with internal and external trainings
- We value DEI Diversity Equity & Inclusion
- We support grassroots initiatives and take part in charity events
- We offer valuable benefits such as:
- the welcome pack
- vouchers for the Worksmile platform (each month the employees receive a pool of 150 points they can spend on many products and services available in the system)
- private healthcare
- free language lessons (English German Spanish)
- the MultiSport card
- an opportunity to take part in internal and external trainings and industry events
Employment Type
Full Time
Key Skills
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