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Contract Lead Data Engineer role in Galway, Ireland (initial 12 months, hybrid) recruited by Reperio Human Capital. Day-to-day: design data models and build cloud data pipelines on Snowflake and AWS, helping modernise a large analytics platform used for reporting, forecasting and planning.
Sr. Data Engineer at Alkami (a fintech SaaS platform for U.S. banks and credit unions) builds and maintains data lake and data warehouse pipelines for a B2B multi-tenant SaaS product. Core stack: AWS big data tools (EMR, Glue, S3, EKS, Lambda, Athena, Kafka/Kinesis), SQL, Python, and Kubernetes/CI/CD. Remote-first in the US.
Who we are: Globalstar pioneered personal safety by introducing its SPOT Satellite GPS Messenger in 2007. Today, leveraging its low-earth orbit (LEO) satellite constellation, Globalstar reliably connects and protects…
Engineer on Smartly's Aqueduct team building the data platform behind large-scale cross-platform advertising — designing data storage and pipelines that process billions of records daily, building APIs, and following SRE practices. Stack includes Ruby on Rails, TypeScript/React, plus Python/Scala/Java with tools like Spark, Flink, Kafka, and PostgreSQL/ClickHouse.
Sequoia Connect is staffing a remote Python Developer to design, build, and deploy Python applications on AWS for a large digital-transformation client — processing large structured/unstructured datasets and maintaining CI/CD pipelines with services like S3, Lambda, Glue, Redshift, and Kinesis. Advanced English and Spanish are required.
Senior Java Developer at Caterpillar in Bangalore designs, develops, and deploys the company's digital platform that hosts a wide range of digital applications. Day-to-day work centers on Java/Scala backend services, microservices, messaging and stream processing, cloud deployment on AWS/Azure, and CI/CD pipelines.
Data Engineer on TP ICAP's Surveillance Technology team in Belfast, building and maintaining AWS data pipelines that feed trade and communications surveillance platforms (Scila, Global Relay). Day-to-day involves ETL/ELT pipeline development with Python/Java, SQL, Airflow/dbt/Spark, infrastructure-as-code with Terraform/CDK, plus data quality checks, monitoring, and reconciliation.
Senior AI/ML engineer at STARZ, a premium TV/streaming entertainment company, mining large telemetry and operational datasets across a Snowflake data warehouse. Day to day: build ML models (anomaly detection, classification, clustering, time-series forecasting) and apply generative AI/LLMs to surface signals from video playback, customer care, device, and authentication data.
Machine learning engineer on Mimecast's Incydr insider-risk product, acting as a full-stack data scientist: sourcing and cleaning data, training and fine-tuning models, and deploying and monitoring them in production, with an AI-first focus on LLM and agent-based architectures. Core stack is Python, PyTorch/Hugging Face, and AWS data services.
Senior full-stack engineer on The Irish Times' Digital Products team, building and modernising the commercial platforms behind subscriptions, paywall, advertising operations and audience analytics. Day-to-day spans React frontends, Node.js/TypeScript and PHP/Drupal backends, AWS serverless services, and integrations with tools like Salesforce, Stripe, Piano and GA4.
A senior full-stack engineer at The Irish Times who builds and modernises the platforms behind the newsroom — CMS systems, content APIs, publishing workflows and integrations — using React, Node.js/TypeScript and AWS, while mentoring engineers and exploring AI for editorial productivity.
Builds and maintains large-scale big data pipelines on AWS cloud platforms, ensuring secure, compliant enterprise data provisioning and supporting Data & Analytics initiatives. Core stack: Python, SQL, PySpark, Terraform, Docker, and AWS services (Glue, Athena, Redshift, Kinesis, Lambda, Kafka).
Senior Data Engineer building and owning AWS data pipelines end-to-end for a staffing firm that places LATAM talent with U.S. companies: large-scale batch ETL/ELT (PySpark, Glue, EMR) and low-latency streaming (Flink, Kafka/Kinesis) on an S3-based lakehouse, plus monitoring, governance, and mentoring junior engineers.
Player-coach engineering manager to build and lead a new data & analytics team at Limble CMMS, owning the analytical data infrastructure and reporting framework that other teams build on. Core stack is AWS (Aurora PostgreSQL, DynamoDB, Redshift, S3) with heavy use of AI tooling; role is remote but requires living near Charlotte, NC.
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.
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.
Full stack developer at emBlue building and maintaining features for its marketing-cloud platform: improving the current front-end and back-end, refining specs, coding, unit testing, documenting, and joining production deploys. Core stack: React + NodeJS with AWS (Lambda, Kinesis, RDS, API Gateway, EC2, S3).
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.
Develops software for Kinesis, AV's flagship ecosystem for collaboratively controlling a diverse fleet of advanced robotic platforms (Boston Dynamics, Skydio, FLIR, Parrot, etc.), working hands-on with hardware. The role requires a security clearance.
Leads the engineering organization building and operating Lucid Motors' enterprise data platform on AWS and Amazon Redshift, ingesting high-volume vehicle telemetry and enterprise data into governed, AI-ready data products. Manages strategy, architecture, data quality, and a team of data and platform engineers serving functions from manufacturing to finance.
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