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  • Published on

    Cognichip Inc. is looking for a Data Platform Software Lead to architect and scale intelligent data systems that support our AI and ML pipelines, focusing on code-based text datasets. You will be responsible for building and maintaining scalable data infrastructure, enabling data ingestion, transformation and delivery for effective model outcomes. Required skills include 5+ years of software engineering in data-intensive environments, experience with web crawling, and proficiency in data-centric tech stacks including Python or Scala. Preferred qualifications involve experience with code datasets for AI.

  • Published on

    Cognichip Inc. is looking for a Data Platform Software Lead to architect and scale intelligent data systems that support AI and ML pipelines, focused specifically on code-based text datasets. You will design and implement reliable, high-performance data infrastructure, including tools for data ingestion, transformation, and delivery. The ideal candidate should have at least 5 years of software engineering experience in data-intensive environments, with a strong background in building scalable data systems and experience with relevant technologies.

  • Published on

    Net Talent is looking for a Staff/Lead Data Engineer to lead the technical design and implementation of critical data infrastructure and products. The role involves providing technical leadership and guidance, designing scalable systems, setting data architecture standards, and solving complex challenges related to analytics and data science across the company. Candidates should have 8+ years of experience in data engineering or related fields, with strong expertise in modern data tools, deep understanding of data modeling, and proficiency in SQL and at least one programming language.

  • Published on

    Signature IT World Inc is looking for an Integration Engineer. The major responsibilities include monitoring and troubleshooting ETL jobs, developing ETL processes using SSIS, Python, and SQL, and ensuring data quality and integrity. The ideal candidate will have a strong focus on ETL, SQL, SSIS, Tidal, and Airflow.

  • Published on

    Lincoln is looking for an Ingénieur Machine Learning / MLOps to support one of their major clients in modernizing and migrating their Data Science platform to a cloud infrastructure (GCP). The key responsibility will be to ensure the quality, scalability, and maintainability of the deployed MLOps solutions, alongside migrating existing ML projects and ensuring smooth production processes.

  • Published on

    ALTEN Germany is seeking a Dateningenieur (all gender) to support the development and advancement of modern data architectures based on Data Vault. The role includes modeling logical and technical Raw and Business Vault layers, creating applications layers and data products, orchestrating complex data transformations with dbt and Snowflake-SQL, and integrating various source systems via Azure Data Factory. Candidates should have a degree in (business) computer science, data science, mathematics or a comparable IT education, experience in data modeling, knowledge of SQL and dbt, and familiarity with CI/CD processes.

  • Published on

    Digital Sarthi Software Solutions is looking for a Data Engineer to design, build, and optimize scalable data pipelines to support various use cases such as Research Digitization, Banking, Global Markets, and Data Monetization. The ideal candidate will also develop and operationalize data products that integrate both structured and unstructured sources, including alternative data. Additionally, they will deploy, manage, and performance-tune large-scale Spark workloads on Databricks, ensuring that these systems are reliable, scalable, and cost-efficient.

  • Published on

    Compass Digital is looking for a Data Engineering Platform Lead to lead a pod of Data Engineers in building and maintaining ETL pipelines and data APIs. The ideal candidate will design and implement scalable infrastructure on AWS and develop CI/CD pipelines using Docker and Kubernetes. Strong communication skills and a background in Computer Science or related fields are essential. Proficiency in Python and familiarity with cloud platforms are required.

  • Published on

    Floy is looking for a (Senior) Data Engineer to join our team. Your mission involves building and maintaining medical data pipelines and managing our medical data warehouse in close collaboration with a cross-functional team. Your role will be critical in ensuring the reliability and scalability of our services, directly impacting the product's effectiveness in improving patients' lives. You will manage data repositories for various teams in addition to building robust data pipelines and maintaining high-quality standards.

  • Published on

    Senior Data Engineer

    Square One ResourcesLondon, GB

    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.