James Chase is looking for a Data Engineering Manager to lead a small, talented team in scaling their product catalogue ingestion platform. This role involves leading and mentoring a high-performing team, acting as a subject matter expert on data initiatives, and ensuring data quality through automated testing. The ideal candidate should have experience with large-scale data processing and be proficient in Python, SQL, and cloud platforms.
Ampstek is looking for a Data Engineer proficient in Data Engineering with hands-on experience in Python, Azure Data Factory, Azure Databricks (PySpark) and ETL. The ideal candidate will demonstrate knowledge of Data Lake storage (storage container) and MSSQL. We value quick learners who are enthusiastic and willing to work on new technologies depending on requirement. Responsibilities also include configuring and deploying using Azure DevOps pipelines.
Renault Digital is looking for a Data Engineer GenAI (F/H) to join the Architecture and Data team. You will contribute to the establishment of the AI platform foundations while collaborating with business teams and leveraging significant data volumes to support machine learning models for client segmentation and automatic vehicle fault detection. Candidates should have at least 5 years of experience and a solid background in Spark, Scala, and Python development within data solutions.
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.
Tenth Revolution Group is looking for a Data Engineer specializing in Databricks and Snowflake. You will be involved in high-value data projects from design to industrialization, particularly focusing on cloud environments like Azure, AWS, or GCP. Responsibilities include designing scalable data architectures, developing data ingestion and transformation pipelines (ETL/ELT), and optimizing data processing performance.
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.
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.