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Xccelerated is looking for a Data Platform Engineer who is passionate about building modern data platforms and thrives in cloud-driven environments. You will design, implement, and optimize scalable data infrastructure while working on impactful projects involving the latest data technologies. Required skills include experience with cloud platforms such as Azure, AWS, GCP, and tools like Spark, Databricks, and Airflow. If you enjoy solving complex challenges and want to make a difference, join us!

Xccelerated | Part of Xebia is looking for a Senior Azure Data Engineer to help build a state-of-the-art cloud platform. You will work together with experienced consultants, receiving tailored training to maximize your growth. You will design and implement cloud solutions within the Azure environment and support a significant digital transformation for our client.

twentyAI is looking for a C# Engineer to join a high-impact team dealing with business critical projects. You will develop and maintain full-stack solutions using C#, SQL, and front-end technologies like React. You will contribute to the migration from legacy platforms to a cloud-native architecture using Python, Azure, and Databricks as part of an exciting opportunity to shape the future tech landscape.

Xccelerated is looking for a Senior Software Engineer to immediately join our team. In this role, you will help us build a cutting-edge data platform on AWS, focusing on designing, deploying, and maintaining scalable data solutions. The ideal candidate has strong experience with data technologies and public cloud platforms.

83zero is looking for a Data Engineer. The ideal candidate will have experience in Data Engineering with Databricks, including Spark programming using Scala and Python, and SQL, as well as knowledge of Delta Lake. Familiarity with Azure Data Lake for data ingestion and ETL/ELT frameworks is essential. You should also have expertise in Data Governance, Metadata, and Data Quality alongside a good understanding of Data Modelling concepts. Experience with Unity Catalog or similar components for Data Governance management is highly valued.

UnitedHealth Group is looking for a Senior Data Scientist to join our Optum Ireland R&D team. You will work on developing advanced analytical products from large healthcare datasets and contribute towards the advancement of health equity. Responsibilities include researching and applying new analytics methods to healthcare data and collaborating with a team of data scientists to design innovative solutions.

Oliver Bernard is looking for a Contract Python/Data Engineer to help the expansion of their new data platform. The ideal candidate will work closely with Architects, Data Scientists, and Software Engineers and must have experience with Databricks, SQL, Spark, and Azure.

Focus on SAP is looking for a Data Engineer with over 5 years of experience in data engineering. The role involves designing, building, and maintaining scalable data pipelines using Databricks, Apache Spark, and other technologies. Candidates should have strong command over SQL and Python, experience with cloud platforms, and understanding of modern data architectures. Responsibilities include collaborating with teams, optimizing data workflows, managing data pipelines, and implementing best practices in data governance.

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.