Senior Data Engineer
vor 3 Wochen
Almedia is the next generation, gamified promotion platform committed to delivering maximum value to both advertisers and consumers. With the goal of boosting our customers' user acquisition, revenue, and branding, we attract and motivate high-quality users to consume offers, surveys, or ads through our innovative products.
Located in the heart of Berlin, we are poised for further growth and are seeking a Senior Data Engineer to spearhead the development of our data warehouse in the Google Cloud Platform (GCP). This is a unique opportunity to join a forward-thinking company that is dedicated to revolutionizing the way brands engage with their audience.
The Senior Data Engineer is vital in architecting our data infrastructure, focusing on the design, implementation, and continuous improvement of our data warehouse. This role demands a proactive generalist capable of overseeing data ingestion from varied sources, and transforming this raw data into actionable insights. Beyond maintenance, you'll innovate by building data APIs, enabling dynamic interactions with backend systems for offer management and user segmentation. Collaborating with data scientists, analysts, and backend developers, you will drive the evolution of our data-driven culture, ensuring our infrastructure scales with our growth.
Key Responsibilities- Architect and maintain our BigQuery data warehouse and data lakes, aligning with both current and future business needs.
- Manage the ingestion of data from diverse sources, optimizing for efficiency and reliability.
- Lead complex data transformations and implement orchestration tools, turning raw data into refined datasets ready for analysis and operational use.
- Create and maintain APIs for internal use, facilitating real-time data interactions that support critical business processes.
- Implement robust data cataloging and quality frameworks, ensuring the warehouse remains a trusted source for insightful decision-making.
- Provide guidance to junior engineers, promoting a culture of excellence in data management practices. Collaborate across teams to integrate data-driven insights into daily operations.
- Handle the operational aspects of the data warehouse, including performance tuning, disaster recovery planning, and capacity management, to support scalability and reliability.
Requirements
- Proven experience in data engineering (4 years+), with a strong understanding of data warehousing concepts.
- Expertise in SQL and experience with scripting languages (e.g. Python).
- Solid understanding of computer science and software engineering fundamentals.
- Experience in building and optimizing data pipelines, architectures, and data sets.
- Knowledge and competence within Data Science & Data Analytics.
- Experience with ML Ops is a plus.
- Strong analytical skills related to working with unstructured datasets.
- Ability to lead projects and collaborate effectively with diverse teams.
- Excellent problem-solving and communication skills.
Benefits
- Competitive salary (82k-98k) and benefits package.
- Flexible working hours and remote work options.
- Low bureaucracy, fast paced startup environment.
- Horizontal structure, answer directly to founders.
Almedia is an equal opportunity employer, we embrace and celebrate diversity and encourage individuals from all backgrounds to apply.
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