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Pearson & Partners is looking for a Data Engineer to join a team focused on the sustainability of the Netherlands. You will work on improving data infrastructure, developing and maintaining robust data pipelines, and managing data warehouses. The role requires collaboration with other teams to deliver reliable and scalable data solutions. Key responsibilities include developing ETL processes, managing Snowflake data warehouses, performing data analysis with Python, and creating visual data analysis tools with Tableau. Candidates should have a relevant degree, at least 4 years of experience in data engineering, and familiarity with various data tools.

iPepper is looking for a Data Engineer (H/F) to join their project teams and enhance data processing scalability, performance, and industrialization. You will work in a multi-cloud environment (Azure, GCP & AWS) and use modern tools, such as DBT, Snowflake, Airflow, and MLflow, providing technical coaching and collaboration across teams. This role requires experience in cloud environments and data engineering.

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.

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.

ilionx is looking for a Senior Data Engineer to join our team in Den Bosch. As a Senior Data Engineer, you will play a pivotal role in our Data Driven mission to transform companies into truly data-driven organizations. You will lead projects, support and guide colleagues, and build strong relationships with clients. You will be responsible for setting up, structuring, and developing data platforms, working within the Microsoft Azure Cloud using technologies such as Azure SQL Database, Synapse, Databricks, and Snowflake. We are looking for candidates with a strong engineering mindset, at least 5 years of experience in Azure Data Engineering, and proficiency in Python and (Py)Spark. Fluency in Dutch is required, and we offer flexibility in working hours.

Digital Power is looking for an Analytics Engineer who plays a crucial role in transforming raw data into valuable insights. Responsibilities include collaborating with data engineers, analysts, and business stakeholders to build scalable data models, optimize data flows, and analyze data. Candidates should have at least 3 years of experience in similar roles, expertise in SQL, and familiarity with tools such as DBT, Snowflake, and data visualization tools. Strong communication skills and the ability to work in multidisciplinary teams are essential.

Tata Consultancy Services (TCS) is looking for a Python Developer to join the C3 data warehouse team. In this role, you will focus on building the next-generation data platform utilized for sourcing and storing data from various corporate systems into a centralized data platform. This platform enables various risk technology reporting and analysis solutions within Morgan Stanley. You will primarily be responsible for contributing to the development of a unified data flow framework written in Python, using technologies like Airflow, DBT, Spark, and Snowflake.

HCLTech is looking for a Support Engineer with expertise in Java, Splunk, Snowflake, Databricks, Control-M, Azure, Kubernetes, Docker, and Azure Pipeline. The role involves troubleshooting enterprise systems, ensuring high availability, and optimizing performance across cloud environments. The ideal candidate will have strong problem-solving skills and be proficient in supporting CI/CD automation workflows.

TekRek is looking for a Senior Data Engineer to build a cloud-native data platform that supports large-scale analytics, real-time processing, and machine learning. The successful candidate will design and build robust data platforms on GCP, AWS, or Azure, develop scalable pipelines using Spark, Kafka, dbt, and Airflow, and implement ETL workflows with strong data governance.

TekRek is looking for a Senior Data Engineer to scale the data platform infrastructure from the ground up. You will design and build robust data platforms on GCP, AWS, or Azure, develop scalable batch and streaming pipelines, and architect data lake and warehouse solutions. Candidates should have strong experience in data engineering and cloud-native platforms, proficient in Python, Java, or Scala, and have hands-on experience with tools like BigQuery, Snowflake, and Kafka.