Infused Solutions is looking for a Senior Data Engineer to play a key role in delivering multiple data and cloud projects. As they expand their engineering capability, they are seeking a technical expert with strong problem-solving skills and a deep understanding of data architecture, engineering, and governance.
MEINSTACK OHG is looking for a Senior Java/Kotlin Developer (m/w/d) in Munich. The company is a tech-driven firm that is experiencing healthy growth while utilizing the latest technologies. The role involves developing scalable new features within the internal Data Department, leveraging a proven tech stack based on AWS and Kubernetes. We are seeking candidates with mid-level to extensive experience, offering a permanent position with a fixed salary range of €70,000 to €95,000, with a potential Tech Lead role available for up to €120,000. Candidates should have proficiency in Java, Kotlin, Spring Boot, Microservices, and AWS, among others.
Focus on SAP is looking for a Data Engineer with over 5 years of experience in data engineering. The role involves designing, building, and maintaining scalable data pipelines using Databricks, Apache Spark, and other technologies. Candidates should have strong command over SQL and Python, experience with cloud platforms, and understanding of modern data architectures. Responsibilities include collaborating with teams, optimizing data workflows, managing data pipelines, and implementing best practices in data governance.
Teralytics is looking for a Senior Data Engineer to optimize and scale our data processing pipelines. You will develop and manage scalable data pipelines using Scala and Apache Spark, deploy workflows in Kubernetes, and work with big data technologies like Hadoop and orchestration tools like Apache Airflow. A strong background in cloud platforms and data science principles is desired.
Lotlinx is looking for a Senior Data Engineer to drive the development and deployment of cloud-first ETL processes, Data management, and Data Warehousing in the Automotive Digital Advertising industry. The candidate should be adept in utilizing data to enhance and optimize our data aggregation processes, functioning well in a fast-paced, team-oriented environment.
Lotlinx is looking for a Senior Data Engineer to develop and deploy cloud-first ETL processes and manage data in the Automotive Digital Advertising industry. The ideal candidate will thrive in a collaborative environment, working with various teams to improve data aggregation processes. Qualifications include 5 years in data engineering, proficiency in SQL, and expertise with cloud platforms like AWS and GCP.
BigData Republic is looking for a Senior Data Engineer to consult with major companies in the Netherlands on complex data challenges. Your responsibilities include writing production ready code, advising on business decisions, and coaching your team. You're expected to have experience in data systems, programming languages (Python, Scala, Kotlin, SQL), cloud environments (AWS, GCP, Azure), and tools like Apache Kafka and Airflow.
BME - Building Materials Europe is looking for a Senior Data Engineer to join our Group Digital Team. In this role, you'll build and optimize data platforms using Azure technologies and tools. The position's key responsibilities include developing data lakes, designing ETL pipelines, and collaborating with IT teams and stakeholders to deliver innovative data solutions.
VisionBI is looking for an Azure Data Engineer to build modern data solutions for clients within the Microsoft ecosystem, leveraging the latest Azure Services. Responsibilities include collaborating with clients to find the best technical solutions, working in Agile/Scrum teams, and contributing to projects involving implementing data lakes, data warehouses, and CI/CD pipelines. Ideal candidates will possess experience with Azure technologies and strong communication skills.
Harnham is looking for a Medior Data Engineer to join their team in Amsterdam. In this role, you'll design, develop, and optimize APIs for data integration, build and maintain data pipelines using Apache Spark, and collaborate with product and analytics teams to ensure data quality and accessibility. Required skills include proficiency in Python, deep knowledge of APIs, experience with big data frameworks, and solid AWS experience. If you are passionate about transforming education through data, this could be the perfect opportunity for you.