Data Integration Engineer
2 semanas atrás
We are looking for a talented and experienced Data Integration Engineer. As a Data Integration Engineer, you will play a crucial role in integrating various external data sources and customer systems into our central data platform. You will work closely with our Data Science, DevOps and Product teams to operationalize data models, integrate new data sources, optimize data streams to enable us and our clients to extract actionable insights and execute impactful decisions.
WHAT YOU'LL DO- You are responsible for the design, development and implementation of data integration solutions that seamlessly integrate various external data sources and customers into our central data platform.
- You will work with interdisciplinary teams to understand data requirements, define integration strategies and ensure that these meet business objectives.
- You will support the data scientists in making models productive and optimizing data pipelines for scalability and efficiency.
- You will use technologies such as Azure native cloud services, Talend Data Integration, Kubernetes, Python, Postgres and other common databases to design robust and scalable data solutions.
- You implement best practices for data governance, data quality, and data security during the integration process.
- You monitor data pipelines, troubleshoot errors, and implement proactive measures to ensure optimal performance and reliability.
- You stay up to date on industry trends and emerging technologies to continuously improve our data integration capabilities.
- You have a bachelor's or master's degree in computer science, engineering, or a related field, or relevant work experience in data integration.
- You have proven experience in designing and implementing data integration solutions in a cloud environment, ideally using Azure native services.
- You are proficient in data integration tools such as Talend Data Integration or similar ETL tools.
- You have strong programming skills in Python for data manipulation, automation and scripting tasks.
- You have experience working with containerization technologies such as Kubernetes to deploy and manage data applications.
- You have a solid understanding of relational databases, such as Postgres, and are familiar with SQL queries.
- You have excellent problem-solving skills and pay close attention to detail, as well as a proactive attitude.
- You communicate effectively and enjoy working in a fast-paced environment with interdisciplinary teams.
At pacemaker, we combine the innovative power of an agile SaaS start-up with the advantages and stability of an established corporate. We promote an open and collaborative working atmosphere in which we share our knowledge through cross-team collaboration and celebrate successes together.
- Remote-first culture: In addition to the freedom to work from anywhere in Portugal, you can work from another EU country 20 days a year.
- Offices: If you're in the mood for office vibes, you can drop by our offices in Münster, Berlin or Düsseldorf at any time.
- Flexible working hours: Organize your working day according to your needs - without fixed core working hours, as long as it is compatible with your daily business & team.
- Team Days: Our monthly Team Days encourage interaction away from the daily routine, enable new employees to get to know the team and strengthen our corporate culture.
- Equipment: You work with a powerful MacBook that offers you optimal support in your daily work.
- Further training: Our Udemy Pro access gives you unlimited access to further training in your specialist area, allowing you to develop optimally in your field.
- Other benefits: thyssenkrupp pension scheme, bicycle leasing, corporate benefits and many other extras await you
We look forward to receiving your applicationAbout us
At pacemaker.ai, we are passionate and ambitious about developing AI-based solutions to make our customers' supply chains sustainably better. We combine data and industry knowledge from experts to create precise forecasts and detailed CO₂-balances using artificial intelligence. In this way, we support our customers in making informed decisions for a cost-optimized, more efficient and sustainable supply chain.
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