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hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. JOB DESCRIPTION We have an opportunity to impact your career and provide an adventure where you can push the…
Tech-lead-manager role overseeing a 5-6 person Data Platform team at Parafin, owning data infrastructure (Databricks, Airflow, dbt), ML platform, and batch/real-time underwriting pipelines that power capital product offers across 60+ partners.
Lead a petabyte-scale AWS data platform, designing scalable pipelines and services in Scala/Spark to power data-driven marketing solutions while mentoring engineers and guiding architectural decisions.
Atticus is seeking its first in-house Lead Data Engineer to own and evolve their core data infrastructure, pipelines, and warehouse. The role involves working with the modern data stack (BigQuery, dbt, Dagster/Airflow) to build scalable data products and collaborate with cross-functional teams.
The Lead Data Center Engineer oversees the full power infrastructure lifecycle for Tier 4 data center sites, managing planning, installation, and team coordination. This role requires extensive electrical engineering experience and leadership capabilities to manage complex projects and client relationships.
Leads data center site operations, overseeing Tier 4 power infrastructure planning, installation, and handover. Manages teams, client relations, and technical execution for critical data center projects in Europe.
Role Overview We have an exciting opportunity for a Lead Data Engineer to join our growing Data & AI function within FSP. The successful applicant will work alongside our architects and consultants to deliver…
The Data Governance Lead will build and extend data governance frameworks, establish data ownership, and manage cross-functional steward groups to improve data quality and ensure compliance with UK GDPR.
Salary: £80,000 - 95,000 per year Requirements: Extensive experience in Data Engineering and modern cloud data platforms, with AWS preferred. Strong SQL expertise and experience with dbt or similar ELT tools.…
Lead a team of ~10 data platform engineers to build scalable data infrastructure for AI research and production, using Spark, Flink, Airflow, Kafka, and lakehouse formats like Iceberg.
Leads a team to build and maintain a global, multi-asset data platform for a quantitative investment firm, supporting research, backtesting, and live trading workflows with robust data pipelines and governance.
Leads a hybrid data platform engineering team in Lisbon, designing scalable data architectures, pipelines, and analytics solutions using cloud platforms, SQL, and modern data tools like Snowflake or Databricks to drive business insights and AI/ML applications.
Leads AWS data platform engineering, designing scalable cloud-native data pipelines and frameworks while mentoring teams and driving innovation in AWS services for enterprise-wide data initiatives.
Leads data platform expansion by designing Azure Fabric pipelines, migrating from SQL, and integrating ERP/CRM systems to optimize data supply chains.
The Senior Data Engineer will design, build, and maintain scalable data pipelines using Databricks, Python, and SQL. This role involves implementing CI/CD practices, ensuring operational health, and mentoring junior team members.
The Lead Data Engineer will manage and optimize the enterprise Databricks Lakehouse platform, focusing on performance tuning, data governance via Unity Catalog, and implementing AI-native operational workflows. The role involves designing scalable pipelines, mentoring engineering teams, and collaborating with vendors to ensure platform reliability and cost-efficiency.
The Lead Software Engineer will design and optimize large-scale ETL data pipelines and cloud-native data solutions using Python, PySpark, and AWS. This role involves managing modern data lake architectures and Snowflake environments while championing engineering best practices and AI-assisted development within a financial services context.
Leads data governance for an enterprise data platform, defining strategy, requirements, and design for metadata, data quality, and governance tools like Databricks and Microsoft Purview. Bridges business needs and technical implementation, ensuring scalable, production-ready data management for analytics and AI.
The Data Governance & Data Catalog Lead will design and implement data and AI governance programs for clients, focusing on the Collibra Data Catalog platform. This role involves leading delivery teams, managing client relationships, and establishing operational models for data and AI compliance.
Lead Data Engineer building and optimizing ETL/data pipelines on Azure (Data Factory, Databricks, ADLS Gen2, Synapse) using Python/PySpark, while mentoring a team and ensuring data quality and governance.
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