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AI/Data Engineer at Capgemini's Insights & Data practice in Denmark: designing, building, and operating scalable batch and real-time data pipelines and data products on cloud lakehouse platforms (Databricks, Snowflake) using Python and SQL, to power analytics and AI use cases for enterprise clients in regulated industries.
Salary: £? - ? per year Requirements: Proven commercial experience delivering data engineering solutions in project or production environments. Strong Python and SQL skills. Hands-on experience with Apache NiFi and…
Senior Data Engineer on the Index Engineering team building and evolving data platforms for large-scale financial datasets (securities master data, corporate actions, market data) using Python, dbt, BigQuery, and Apache Airflow on GCP. Day to day: designing ELT pipelines, data models, reconciliation/quality checks, and FastAPI data APIs.
Builds and runs eBay Nexpart's business-intelligence and reporting platform: designing a ClickHouse-based analytics stack, Python ETL/ELT pipelines, and dimensional models, plus AI-enabled reporting like natural-language queries and Next.js/TypeScript dashboards. Remote US role; remote hires are not eligible for US visa sponsorship.
Engineering lead for Reflection's data ingestion team in London, building the web-scale crawling, extraction pipelines, and data lakes that turn the open web and licensed sources into training corpora for the company's open frontier AI models. A hands-on management role spanning Ray/Spark distributed compute, Airflow/Prefect orchestration, and large-scale dataset versioning and delivery.
Builds and operates the core data platform at Reflection, an AI research lab creating open-weight models — designing batch/streaming ingestion, orchestration, and storage/compute foundations using tools like Spark, Flink, Airflow/Dagster, Kafka, and lakehouse formats such as Iceberg and Delta Lake to power research, training, and production.
Builds and maintains enterprise data and analytics solutions for Azenta, a life sciences company: designing ETL pipelines, managing Snowflake and PostgreSQL data platforms, developing AWS data lake datasets (S3, Glue, Athena, Lambda, SageMaker), and curating governed data for dashboards, self-service BI, and AI/ML initiatives. Hybrid role: 4 days in-office in Plainfield, 1 day remote.
Lead Grab's Flink Platform Team, designing, evolving, and operating the company's large-scale real-time stream processing platform built on Apache Flink. Hands-on with Flink, Kafka, Scala/Java, AWS, and Kubernetes — driving architecture, 99.99% uptime reliability, self-serve tooling, and mentoring engineers.
Database Administrator at eTap Inc., a Philippine fintech that builds self-service payment machines. Day to day: administer MySQL/PostgreSQL databases, maintain the Data Lake, run and troubleshoot ETL/ELT pipelines, and handle monitoring, tuning, backups, security, and disaster recovery.
Senior data engineer building and maintaining scalable ETL/ELT pipelines on the Databricks Lakehouse platform. Day to day involves Python, PySpark, advanced SQL, AWS/S3 and REST API integrations, Unity Catalog, Delta Lake medallion architecture, and Spark performance optimization for Fortune 500 client projects.
Senior data scientist supporting Peraton Labs' Digital Command Center for FAA modernization: turns complex program, schedule, and operational data into metrics, dashboards, and decision-support analytics, and validates data feeding an agentic AI engine. Core tools are Python/R/SQL, statistical and predictive modeling, cloud data platforms, and BI/dashboarding.
Designs, develops, and operates ETL/ELT data pipelines on Azure — using Azure Data Factory, Databricks, Spark/PySpark, SQL, and Blob Storage/Data Lake — to ingest, transform, and serve data for business and analytics consumers. Requires 3+ years of data engineering experience; 100% remote within Argentina.
We are looking for a Senior Data Software Engineer to join our growing Data Practice and make our team even stronger. Our projects and technologies are very diverse and cover all technologies currently on the market…
Builder-track ML engineer on Deloitte's HC Forward Intelligent Payroll platform: designs and ships distributed PySpark pipelines (medallion architecture) and ML models for time-series forecasting and anomaly detection over enterprise payroll data, writing clean class-based Python and orchestrating Spark jobs via Azure ML Studio. No client-facing work.
The Opportunity Join a team building the data foundations that support the firm’s AI and analytics capabilities. This role sits within the engineering effort to develop a modern Lakehouse and AI data platform that…
As a Senior Solution Engineer, you will be a strategic technical leader for Snowflake’s existing enterprise customers in Singapore, with a primary focus on Financial Services (FSI) and Digital Native sectors. You will…
We are seeking a Data Migration Engineer to oversee the planning, execution, and validation of our enterprise data migration strategies. In this role, you will be responsible for moving critical data from legacy…
Job Description The Opportunity Based in Hyderabad, join a global healthcare biopharma company and be part of a 130- year legacy of success backed by ethical integrity, forward momentum, and an inspiring mission to…
