Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
Design and drive scalable financial technology systems for EQT’s Fintech Value Stream, collaborating with engineers and stakeholders to integrate APIs, data architectures, and automation across regulated environments.
Senior System Analyst designing DWH models using Data Vault methodology, managing data flows from PostgreSQL/ClickHouse to Greenplum, and optimizing SQL queries for a fintech company.
Senior backend engineer on St. James's Place's Investment Platforms team, leading design and evolution of backend services, APIs, and data pipelines supporting the firm's investment proposition. Core stack: Python, SQL, Airflow, dbt, and AWS, with DevSecOps, IaC, and SRE practices, plus mentoring and architectural leadership.
Mid-level data engineer at tech consultancy Vivanti in Sydney, building and maintaining data pipelines and cloud data structures for client projects. Core stack is Python, SQL, and cloud platforms (AWS/Azure/GCP) with modern data tools like Snowflake, Databricks, dbt, and Airflow.
Senior Product Manager owning the Observability & Data Quality product line for DataHub Cloud, Acryl Data's AI-powered data context platform used by 3,000+ enterprises. Day to day: define product vision, strategy and roadmap, research the data ecosystem, and work cross-functionally with engineering, design, sales and partners to launch data observability and quality features.
Senior Data Engineer at Woven by Toyota (Toyota's mobility arm) building the data foundation for ML-based motion planning in autonomous driving. The role owns end-to-end data architecture and pipelines (ingestion to visualization) using SQL, Python, cloud warehouses like BigQuery/Snowflake, and tooling like dbt and Airflow, in a hybrid Tokyo setup.
Data Engineer III designs, builds, and maintains analytical data models and ETL pipelines on Verily's Precision Health Platform, supporting research and care programs. The role centers on SQL, ETL, and dbt, collaborating across engineering, product, and analytics teams in a healthcare data environment.
Principal-level data engineering consultant delivering end-to-end data platforms on Microsoft Azure for clients: Spark (Databricks/Fabric) pipelines in Python, Data Factory orchestration, Data Lake/Delta Lake storage, governance with Unity Catalog/Purview, and IaC with Terraform — remote within the UK with occasional customer visits.
Senior Data Engineer at a fast-growing, VC-backed zero-fee payments fintech in London, owning the event-driven data platform end to end: AWS streaming ingestion (EventBridge, Kinesis Firehose, S3, Snowpipe) into Snowflake, with Python/Snowpark pipelines, Terraform/Terragrunt, dbt, GitHub Actions CI/CD, and Datadog observability.
Hands-on mid-senior data engineer owning the full data lifecycle at a London data-driven organization: building batch/streaming pipelines, optimizing a cloud data warehouse (ideally BigQuery/GCP), designing medallion/lakehouse architecture, Kimball-style modelling, and orchestrating with Airflow/dbt. £85k–£110k + bonus, hybrid from a London office.
Senior Data Engineer at LEGO Digital Play (Shoreditch, UK) to lead design and scaling of the data platform: building batch/streaming pipelines for high-volume event and telemetry data, owning data modelling and quality, and hiring/leading the data team with privacy (GDPR/COPPA) built in. Core stack: SQL, Python/TypeScript, dbt/Airflow/Dagster, cloud warehouses like BigQuery.
Unpaid, remote (US) internship/early-career Data Engineer at Holiday World, a holiday-themed digital media platform with 110K+ users. Day to day: build ETL/ELT pipelines, integrate APIs, ensure data quality, and support analytics and ML/AI systems using Python, SQL, BigQuery/Snowflake, and GCP.
Graduate junior data engineer pathway in Wilmslow/South Manchester placed via talent firm Mirai Talent: start with SQL and Python foundations, then learn Databricks, Spark, cloud, Git, dbt and data modelling on live client projects, working toward a Databricks certification and future roles in analytics, architecture and AI.
Analytics Engineer for the WNBA who builds the league's analytical data foundation — turning fan, subscription, engagement, and viewership data into unified, reusable datasets. Day to day: complex SQL data models, dbt pipelines, semantic layer development, and automated data quality testing in partnership with analytics and AI teams.
Builds, designs, and deploys cloud data pipelines on Google Cloud Platform — ingesting from databases, APIs, and streaming sources into BigQuery, orchestrated with Airflow and transformed with dbt — for client-facing data consulting projects. Requires 4+ years of data engineering experience plus SQL, Python, and ETL/ELT skills.
Marketing-focused data analyst at Current, a NYC-based consumer fintech with 6M+ members. Owns marketing reporting, attribution, and experimentation — building Looker dashboards, datasets, and metrics using SQL and Python to power user growth. Base salary $130k–$175k plus equity.
Build and operate Mercury's ML platform for fraud/risk decisioning: a real-time low-latency model inference service, model registry and deployment with CI/CD, staged rollouts, and observability including drift detection. Core stack is Python (FastAPI/Flask), SQL, Redis/DynamoDB, and Kafka-style streaming pipelines.
Senior Data Analyst on Mercury's Financial Data Reconciliation team, owning end-to-end reconciliation of transactions across partner banks and internal systems: building data pipelines and matching rules (SQL, dbt), investigating exceptions, and reporting on reconciliation health. Requires 6+ years with complex financial data in fintech.
Data Analyst at The Pioneer, a Berlin digital media company doing independent business/politics journalism. You analyze user, content, web/app and brand data to drive product, editorial and marketing strategy, build self-service BI dashboards, co-own the Google Analytics tracking setup, and help build an AI-based 'Pioneer AI Analyst' for team data access.
Staff Data Engineer on Root Insurance's Data Platform team, technically leading financial data operations (commissions payments, incentive programs) while building and scaling data pipelines and platform tooling. Core stack: Python, SQL, Redshift, Spark, Apache Iceberg, Airflow, dbt, Terraform on AWS. Remote anywhere in the US.
We couldn't check your fit for this role — add a CV to your profile to see it next time.