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Harnham is looking for a mid-level Data Engineer to shape their data platform. The candidate will design and build robust data pipelines and workflows, ensure data quality, consistency, and usability, contribute to analytics-ready layers, support audience data automation, collaborate internationally for advanced analysis frameworks, and unlock value from competition and inventory data to enhance engagement and performance. Required skills include strong experience in Python, SQL, building analytics data layers, and familiarity with tools like Airflow, dbt, BigQuery, or Redshift, as well as Terraform and Kubernetes for deployment.

Xccelerated is looking for a Medior Data Engineer to help build a state-of-the-art Data Platform on Google Cloud Platform. You will collaborate with experienced consultants and receive over 60 days of tailored training to maximize your learning and impact. Your role involves building components for the platform, deploying models, and collaborating with analytics teams to ensure effective data integration.

Innova Solutions is looking for a Senior MLOps Engineer to develop and maintain an automated platform for creating, training, deploying, and updating machine learning models. You will work closely with data scientists to deploy, monitor, and maintain ML models. The ideal candidate should have strong experience in CI/CD, ML pipeline automation, and containerized infrastructure, especially using Python, Docker, and Kubernetes.

Signify Technology is looking for a Senior Data Engineer to join our dynamic data team. You'll be responsible for designing and maintaining scalable data infrastructure, building robust pipelines, and optimizing data workflows to support analytics, product development, and business intelligence efforts. Proficiency in Python and SQL is required, along with experience with modern data stack tools like Spark and Airflow.

Hirestone is looking for a Head of Data Platform to lead a team of Data Engineers & DataOps Engineers in shaping and managing an innovative data platform within the Retail Tech sector. Responsibilities include defining the vision for the Data Platform team, overseeing data calculations and integrations, designing and optimizing data pipelines, ensuring data quality, security, and compliance, and serving as a key interface with cross-functional teams. Ideal candidates should have 5-10 years of experience in Data Engineering or DataOps, have strong leadership skills, and possess a strategic vision with an understanding of product development and stakeholder engagement.

VOIDS is looking for a Senior Data Scientist - Demand Forecasting (f/m/d) to own the core of our product: the VOIDS demand forecasting engine that forecasts €1,000,000,000 yearly for our customers. You'll lead the development of scalable forecasting methodologies, engage with customers for insights, and enhance the developer experience. Must-haves include 5 years of Data Science experience, Python and SQL expertise, and a proactive mindset. If you are driven and fast-paced, embrace this opportunity to challenge the status quo and take ownership of our AI platform's success.

DeepRec.ai is looking for an MLOps Engineer responsible for deploying and scaling machine learning models for real-time video and audio applications. You will collaborate with data scientists and engineers to build fast, reliable, and automated ML infrastructure. Key responsibilities include building ML pipelines, automating model deployments, ensuring model versioning, and optimizing inference performance, among other tasks. Candidates should have 3 years of experience in MLOps or related roles, proficiency in Python, and experience with ML frameworks and cloud platforms.

Néosoft is looking for a Lead Data Engineer H/F to join our Lille agency. You will shine within our DATA community of 100 employees led by Nicolas Huche and Thibaud Blanchard. Your responsibilities will include consolidating a responsible Data heritage for our clients, particularly in Retail or Banking/Insurance/Finance contexts. Your tasks will involve defining the technical data engineering strategy, designing robust and scalable data architectures, optimizing performance and scalability, and taking on a true technical leadership role. We expect you to have at least 6 years of experience in Data projects, mastery of databases (SQL), data transformation tools (Talend, BigQuery, Airflow), and solid skills in Python, Spark, Scala, Hadoop, Java, and Cloud environments. Additionally, you will benefit from flexible teleworking agreements, unlimited access to LinkedIn Learning, and opportunities to develop your technical expertise through tech days, conferences, and articles.

Dataworks is looking for a DevOps Engineer / Site Reliability Engineer to join their Data Platform team. You will own and optimize data infrastructure on GCP, support containerization and orchestration, and improve automation and observability across the data stack. Strong experience with GCP, Kubernetes, and proficiency in Python or Go scripting are required.

Eneco is looking for a Data Science Forecaster to contribute to the development of forecasting products that meet the needs of stakeholders in the energy sector. You will play a critical role in researching and improving proprietary power production forecasting models for renewable energy sources. The focus will be on enhancing forecast accuracy, collaborating with various teams, and providing actionable insights that drive trading decisions.