Xccelerated | Part of Xebia is looking for a Machine Learning Engineer. This role involves working as a ML(ops) engineer at top-tier clients like Lely, ING, ASML, or KLM. Responsibilities include building production-ready, scalable machine learning systems, productionizing ML models, and improving automated ML pipelines. Candidates should have a technical degree and experience in machine learning or data science.
Square One Resources is looking for a Senior Data Engineer to lead technical work on projects, manage complex stakeholder relationships, and deliver innovative data solutions. This role is vital in shaping data-driven decision-making across various industries. The candidate will design scalable data pipelines, lead technical execution, and mentor junior team members, collaborating closely with stakeholders to understand their needs and provide high-impact solutions while promoting innovation in analytics engineering practices.
Themesoft Inc. is looking for a Snowflake Data Engineer to join our team in Toronto. This hybrid position involves working on data warehousing projects and entails data transformation from legacy systems such as Netezza, DB2, Oracle, and SQL Server to cloud data warehousing solutions using Snowflake. The ideal candidate should possess strong skills in Snowflake, Snowsql, Airflow, Hive, Snowpipe, SQL development, and Big Data Analytics along with experience in cloud services.
Bright Cubes is looking for a Data Engineer. In this role, you will build and optimize data pipelines using tools like Spark, Airflow, Databricks, and the cloud-native capabilities of Azure and AWS. Your expertise will help manage and transform complex data flows with (big) data technologies, automation, and performance optimization. If this sounds like your next challenge, apply now!
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.
Immersum is looking for a Lead Data Engineer to own the design and delivery of scalable, high-performing data pipelines. This role involves leading a team of 5 Data Engineers to enhance skills and ensure best practices. The candidate will need strong leadership experience and expertise with AWS, Snowflake, Airflow, and DBT.
Harvey Nash is looking for a Machine Learning Engineer. In this role, you will develop and maintain a platform for automating the creation, training, deployment, and updating of machine learning models. The ideal candidate must possess strong skills in Python, CI/CD processes, and ML pipeline automation while being passionate about AI and technology.
La Fosse is looking for a Data Engineer. This role requires a UK based Data Engineer willing to relocate to Dubai within 6-12 months. The successful candidate will work with a global Consumer Services organization that is modernizing its data capabilities. Responsibilities include contributing to the development of a greenfield customer data platform, using PySpark and AWS stack, ideally with experience in Airflow, while SQL experience is a plus. Candidates should have 3-5 years of experience and must have full UK right to work without sponsorship. The role offers a pathway to senior positions and emphasizes personal development.
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.