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SR2 is looking for a Machine Learning Engineer to join a Global Data Consultancy. In this role, you will leverage your expertise in data analysis and modelling to help clients make informed, data-driven decisions. You will work on projects that involve data collection, processing, and interpretation, turning complex data sets into actionable insights that drive business strategy. The ideal candidate should have strong analytical skills, proficiency in programming languages like Python or R, and experience with machine learning techniques.

QA Consultants is looking for a DevOps Engineer to support client partners in the insurance sector. The professional will provide support on cloud environments, assist various project teams, including Data Scientists and QA teams, and ensure operational stability by managing troubleshooting processes, monitoring, and patching tasks. Required qualifications include 5 years of experience with AWS and Terraform, with knowledge of S3, Lambda, CloudWatch, CI/CD practices, and knowledge of Kubernetes. A background in Databricks, Snowflake, or cloud certifications is a plus.

Xccelerated is looking for a Medior Data Engineer who is passionate about building cutting-edge data platforms in a cloud environment. The successful candidate will design, deploy, and maintain a scalable, high-performing data platform in Google Cloud (GCP). With a strong background in data pipelines and cloud technologies, the ideal candidate will collaborate with teams to integrate data models directly into business processes and ensure efficient, data-driven decisions.

Meritis | B Corp™ is looking for Cloud Data Engineers with at least 3 years of experience to participate in various projects across clients in the Luxury/Retail and Energy sectors. This role involves working in Cloud environments (AWS, Azure, GCP) and plays a vital role in managing, optimizing, and operating cloud data infrastructure.

Stedin is looking for a Data Engineer. In this role, you will translate information needs into successful data solutions, working on a data platform mainly based on Databricks, using ETL technologies from Informatica. You will help develop and position BI and data services to derive added value from data for business departments.

Stedin is looking for a Data Platform Engineer to play a key role in developing, managing, and making accessible a robust, scalable data platform. You will work with cloud applications like Databricks and Kubernetes, focusing on user-friendliness, self-service, and standardization. A strong understanding of cloud environments, programming skills in Python, Spark, SQL, and communication abilities are required.

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.

Harnham is looking for a Technical Lead Machine Learning Engineer to join and lead a team focused on building and scaling machine learning-powered products, primarily in ad optimization and recommendation systems. This role involves designing, building, and deploying machine learning models, developing ML pipelines, and collaborating with product teams. A strong background in AdTech or recommender systems is essential, along with proficiency in orchestration tools, data infrastructure, and cloud platforms.

Harnham is looking for a Senior Staff Machine Learning Engineer to lead a team in developing AI solutions leveraging large behavioral datasets. Responsibilities include designing ML models for ad optimization and recommendation systems, developing ML pipelines, collaborating with cross-functional teams, and staying updated on emerging ML techniques. Required skills include an MSc or PhD in a STEM field, experience in deploying ML systems, and a strong background in AdTech or RecSys.

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.