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Senior Solutions Architect designs, operates, and optimizes cloud-native data platforms (Snowflake, Redshift) for enterprise clients, ensuring performance, security, and scalability while collaborating with cross-functional teams.
Leads the delivery and operations of modern cloud data platforms for enterprise clients, coordinating global teams to ensure reliable, scalable solutions using AWS/Azure, Snowflake, dbt, and related tools.
Senior DevOps engineer builds and maintains cloud-native data platforms on AWS/Azure for enterprise clients, using IaC, CI/CD, and automation to ensure reliability and scalability.
Designs and implements end-to-end data and AI solutions for large enterprises using cloud platforms like Snowflake, AWS, Azure, and GCP, while leading teams and advising clients.
Principal Solution Architect designs and delivers large-scale cloud-native data platforms for global enterprises using Snowflake, AWS, Azure, and modern data stack tools, while leading technical teams and client engagements.
Build and deploy secure, scalable cloud data pipelines and warehouses for enterprise clients using Python, SQL, and platforms like Snowflake, AWS, Azure, and Databricks.
Leads cloud data/AI platform operations for phData’s managed services clients, ensuring reliability, automation, and incident resolution across Snowflake, AWS/Azure, and Anthropic workloads. Focuses on cross-functional collaboration, documentation, and AI-assisted troubleshooting to deliver high-value solutions.
The Technical Delivery Manager leads client technical teams in designing and implementing modern data platforms using technologies like Snowflake, AWS, and Azure. This role involves managing project delivery, fostering client relationships, and coordinating cross-regional teams to ensure successful, high-quality outcomes.
Build and operate the agent-first platform infrastructure that powers Snorkel AI’s products, including event-driven pipelines, governance systems, and distributed services using Python, AWS, and observability tools.
Data Engineer (3-5 yrs) to design and run a GCP data platform end-to-end — BigQuery, Terraform IaC, Airflow/Cloud Composer orchestration, CI/CD for data — plus build LLM-based agents and data governance/lineage, for a Randstad Digital client. Permanent contract, hybrid in Cuneo (3 days on-site).
An MLOps engineer at Continental's Digital Solutions department builds and operates production ML platforms: designing CI/CD pipelines for machine learning models, automating end-to-end training/deployment/monitoring workflows, and managing the model lifecycle. Core stack includes MLflow, AWS/Azure with infrastructure-as-code, Python, SQL, Docker, Kubernetes, GitHub Actions, Airflow, and Grafana.
At Signifyd, we help merchants confidently grow their businesses by building trusted relationships with their customers. Our advanced technology, combined with a team genuinely invested in our clients’ success, creates…
Senior Data Platform Engineer on Just Eat Takeaway's Batch Data Tools team, building and evolving Mobius, the company's Kubernetes-native declarative batch data platform. Day to day: designing batch pipeline capabilities on AWS, owning observability and incident response, and partnering with internal teams. Stack: Python/Java/Scala, Kubernetes, Spark, DBT, Iceberg, Airflow.
Senior Data Engineer joining a world-leading energy trading company's Data Flow project for its Front Office in London: building data pipelines, a governed data lake and trading analytics, primarily on Azure (Data Factory, Databricks, Synapse, Stream Analytics) with AWS tooling and CI/CD via GitHub Actions and Azure DevOps.
Lead Data Engineer (first senior data hire) at an AI start-up in London building an intelligent automation platform for B2C services. Day to day: design batch and real-time data pipelines, vector search and ML data infrastructure using Python, PostgreSQL/NoSQL, Kafka, Spark, and Airflow, while mentoring engineers and shaping data architecture.
Lead data engineer at an early-stage AI product company in London: you own the data architecture and technical direction, building batch and real-time pipelines plus vector search and ML data infrastructure. Core stack includes Spark, Airflow, Kafka, and Elasticsearch/OpenSearch.
Senior Data Engineer joining Depop's Data Governance Squad in London to build data quality, observability, and governance frameworks. Day to day: establishing data contracts, reducing data incident MTTD/MTTR, and embedding GDPR compliance using Python/Java, Airflow, Spark, Kafka, and tools like Monte Carlo, Great Expectations, and DataHub.
Data engineer role at a mid-sized consultancy serving public sector clients in London. Day to day involves building and orchestrating data pipelines with Python, SQL, and Apache Airflow, using AWS data services (Redshift, Glue, Lambda, OpenSearch, Step Functions, Batch), containerising with Docker, and working via GitLab CI/CD.
Company Overview Headquartered in London, CACI Ltd is a wholly owned subsidiary of CACI International Inc., a publicly listed company on the NYSE with annual revenue in excess of US $6.2bn and employing approximately…
Data Engineer at LexisNexis Risk Solutions building and maintaining customer-data pipelines, models, and governance for the Marketing Hub — powering the CDP, identity resolution, journey orchestration, and BI dashboards using advanced SQL, cloud platforms (Azure/AWS/GCP), and orchestration tools like Airflow, Data Factory, and dbt.
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