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Build data governance infrastructure at a fintech company, writing Python/Terraform to automate quality checks, trust scorecards, and compliance workflows while partnering with engineering and compliance teams.
Lead the design and delivery of real-time data pipelines and backend microservices for InMobi’s DSP, processing billions of bid-stream events daily to power bidding intelligence, audience targeting, and campaign analytics using Python/Java/Scala, Kafka/Flink, StarRocks, and Kubernetes.
Principal role designing and engineering enterprise-grade data platforms, integrating Agentic AI, and enforcing Architecture as Code with CI/CD for scalable, governed data products in fintech.
Design and implement data governance processes on GCP—including data catalog development, metadata management, data lineage, and data quality frameworks—as part of migrating analytical environments to Google Cloud for a digital services organization.
Designs and builds a greenfield enterprise data warehouse on Google BigQuery, consolidating fragmented systems (ERP, CRM, e-commerce, EDI, etc.) into a governed, decision-ready foundation for MRCOOL’s HVAC business. Focuses on ELT pipelines, data governance, AI enablement, and executive reporting.
Mid/Senior Data Engineer at Xebia designing and maintaining scalable GCP/BigQuery data pipelines, building ETL/ELT frameworks, and supporting migration projects using Python, SQL, and orchestration tools like Airflow.
Leads GCP-based data engineering for a customer-experience tech firm, designing scalable pipelines, GenAI infrastructure, and governance frameworks while mentoring teams and partnering with clients.
Design and maintain DoDAF enterprise and data architectures for a DoD biosurveillance platform, focusing on cloud-native data integration pipelines, data modeling, and technical guidance for defense information systems.
The Associate Director of Data Governance will establish and lead the enterprise data governance program for Kyowa Kirin North America, managing data catalogs, access models, and quality standards across commercial and medical data systems. This role acts as a bridge between technical data platform teams and business stakeholders to ensure data is trusted, compliant, and accessible.
Atea is seeking a Data Engineer to design, build, and maintain data pipelines and models using Microsoft Fabric. The role focuses on scaling data across the Nordics and Baltics while ensuring data quality, lineage, and effective metadata management.
Data Engineer building and maintaining Atea's modern data platform on Microsoft Fabric, focused on data pipelines, ETL/ELT, data modelling, and governance across the Nordics and Baltics.
Overview This role is the Data Steward lead for one of the Revenue Growth Management (RGM) programs, responsible for ensuring trusted, high-quality, and well-governed data across the RGM ecosystem. The role drives the…
This 6-month contract role involves leading the end-to-end delivery and rollout of Alation and Profisee platforms within an enterprise environment. The Data Engineer will focus on data governance, metadata management, and MDM while managing stakeholders and vendors.
AWS Data Engineering Consultant designing and implementing enterprise-scale data pipelines on AWS (S3, Glue, Lambda, Redshift, Athena, EMR, DynamoDB) using Python, SQL, and Spark/PySpark with IaC tools like Terraform.
Build and maintain cloud data pipelines on AWS, using services like S3, Glue, Redshift, and PySpark to move and transform data for analytics and AI workloads.
Salary: £? - ? per year Requirements: Enterprise data management / technology delivery Alation and/or Profisee implementation and delivery, or similar platforms such as Collibra, Informatica, Purview, or Ataccama Data…
The Data Engineer will build and maintain batch and streaming data pipelines for a banking project, focusing on data quality, lineage, and vector-store integration. The role requires strong proficiency in SQL and Python to manage data synchronization and enterprise system integrations.
This Data Engineer role involves building and maintaining batch and streaming pipelines to ingest and standardize banking data for AI platforms. The position focuses on data quality, lineage, and security using the Microsoft Azure stack, Apache tools, and vector-store management.
Senior Data Engineer designing and maintaining a large-scale Weather Data Lakehouse platform, building cloud-based data pipelines for ingestion, transformation, and processing to support analytics and AI/ML workloads.
Designs and maintains an AWS Data Lake and Lakehouse platform, focusing on data ingestion, transformation, storage, security, and governance to ensure scalable, reliable, and cost-efficient data pipelines.
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