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Senior Data Engineer at Intellias joining a delivery team for a large-scale data platform migration. Day to day: building complex data pipelines with streaming and data governance on Databricks/Lakehouse architecture, while mentoring junior engineers and making technical decisions. Fully remote from Spain; fluent English required.
Senior Data Engineer at Intellias building and delivering pipelines on a large-scale Azure Databricks lakehouse migration for a global asset manager, covering Delta Lake, Unity Catalog, streaming ingestion, data quality and CI/CD (Azure DevOps/Terraform). Hands-on role, remote from Spain.
Hands-on Senior Data Engineer on an Intellias delivery team migrating a global asset manager's enterprise data platform to Azure Databricks lakehouse. Day to day: building medallion pipelines with Delta Lake, Unity Catalog, PySpark and streaming ingestion, plus data quality gates and Databricks Asset Bundles CI/CD.
Senior DevOps Engineer at Intellias building CI/CD, Terraform-based infrastructure and environment automation on Azure for a financial-services client's enterprise data platform migration to Databricks (lakehouse, Unity Catalog). Remote within Spain on an indefinite Spanish contract; day-to-day covers Azure DevOps pipelines, Databricks workspace/cluster management and exposing platform APIs via MC
DevOps engineer on an Intellias delivery team building the CI/CD, Terraform infrastructure-as-code, and environment automation for a global asset manager's Azure/Databricks data platform migration. Day to day: Azure DevOps pipelines with Databricks Asset Bundles, Unity Catalog, secrets/identity management, and observability tooling.
Senior DevOps engineer on an Intellias delivery team supporting a global asset manager's migration to a Databricks lakehouse on Azure. Day to day: build CI/CD in Azure DevOps, manage infrastructure with Terraform, run Databricks workspaces/Unity Catalog, and handle Azure identity, networking and observability.
Senior DevOps engineer on an Intellias delivery team owning CI/CD, Terraform infrastructure-as-code, and Databricks platform operations on Azure for a financial services client's enterprise data lakehouse migration. Remote from Spain with an indefinite Spanish contract.
DevOps/Senior DevOps engineer at Intellias on a delivery team for a financial-services client migrating its enterprise data platform to Databricks on Azure. Day to day: build CI/CD in Azure DevOps with Terraform and Databricks Asset Bundles, manage workspaces, clusters, secrets and identity, and own environment promotion across a 70+ sub-domain programme.
Hands-on technical lead building a FHIR-based U.S. healthcare data interoperability platform that connects EHR/EMR systems, payers, and other clinical data sources in real time. The lead mentors backend/data engineers while coding, using FHIR R4/HL7, Python, Kafka, Spark, Kubernetes, and cloud infrastructure with US Core/USCDI/SMART on FHIR compliance.
Senior Java Developer building and optimizing high-performance backend services for a sports betting and gaming platform: integrating a new feed supplier and developing a cashier module for cash-flow management. Core stack is Java, Spring, and REST APIs, with Docker, Maven/Gradle, and Git in an Agile SAFe environment, remote from Spain.
Senior Java engineer at Intellias, consulting for a Fortune 100 industrial manufacturer, building cloud-based backend services and data products remotely from Spain. Day to day: Spring Boot microservices, event-driven pipelines with Kafka/Kinesis on AWS, PostgreSQL/DynamoDB data work, testing, and GitHub Actions CI/CD.
Senior Java engineer designing and running Spring Boot 3.x microservices and event-driven data pipelines on AWS for a Fortune 100 industrial manufacturer's cloud services. Day to day: building APIs and streaming data workflows with Kafka/Kinesis, PostgreSQL, DynamoDB, JUnit/Cucumber tests, and GitHub Actions CI/CD.
A senior data architect role at Intellias, consulting for a London-based global investment management firm: you own a federated metadata architecture (central catalogue, domain catalogues, semantic layer, knowledge graph) so AI agents can find and safely use data. Core work spans data governance, lineage standards, and catalogue tools like DataHub, OpenMetadata or Collibra.
Senior AI Engineer building production agentic/LLM systems for a global investment management client via Intellias: agentic workflows over research reports and filings, document ingestion/extraction pipelines with automated quality checks, and evaluation, guardrail and observability infrastructure. Core stack is production Python with data tooling like Snowflake, SQL, Git and Linux.
A hands-on senior Python engineer building secure AI-agent data foundations for Intellias's global investment-management client in London: production Python services, data pipelines, catalogue/semantic/entitlement layers, and agent-facing retrieval (RAG, vector search, MCP APIs). Core stack: Python, SQL, columnar formats, query engines (DuckDB/Trino/Spark/ClickHouse), and LLM/agent tooling.
Intellias seeks a senior Python data engineer to build data foundations — catalog, semantic, entitlement and analytical layers — for AI-enabled, on-premise environments in regulated finance. Day to day: scalable data extraction, metadata enrichment, lineage tracking and governance using Kafka, OpenSearch and lake formats.
Senior Data Engineer at Intellias joining a delivery team for a large enterprise data platform migration in the financial sector. The role owns architectural decisions, writes production code weekly, and mentors a mid-level engineer, working with Databricks, Delta Lake, Unity Catalog, and CI/CD via Azure DevOps or GitHub Actions.
Senior Data Engineer at Intellias building an Azure Databricks lakehouse for a global asset management client's enterprise data platform migration. Day to day: hands-on delivery of medallion pipelines (Delta Lake, Unity Catalog, structured streaming), data quality gates, CI/CD via Azure DevOps, and mentoring a mid-level engineer.
Senior hands-on data engineer building the catalogue, metadata, entitlement and lineage layers that let AI agents safely access large on-premise data estates at regulated financial firms. Core stack: Python, SQL, Kafka, search/document stores, lineage modelling and LLMs for drafting metadata.
Intellias is hiring a Senior DevOps Engineer in Poland to support a large-scale enterprise data platform migration for a financial services client. Day to day you design and run CI/CD pipelines, manage Databricks workspaces, clusters and policies with Terraform, and keep Azure environments consistent and governed from dev to prod.
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