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At Macquarie, our Data Services Team drives innovation by delivering a diverse suite of data products that empower data-driven decision-making and enhance operational efficiency. With a strong focus on engineering,…
Software Engineer. x2 Location: London, UK | Department: Engineering | Hybrid (8 days in office per month) | Full-time, Permanent | Industry: Energy Data, Commodities & FinTech Visa Sponsorship Not available.…
Builds and operates the data platform that turns Smart TV viewing, ad, telemetry and partner data into governed data products for Advertising, Content, Sales and Finance teams. Daily work spans AWS/Snowflake pipelines, an Iceberg lakehouse on S3, Airflow (MWAA) orchestration, SQLMesh modelling, Terraform IaC and a shared Python SDK/CLI.
Senior Data Engineer (Snowflake/dbt/AWS) - Portugal Full Remote ABOUT THE OPPORTUNITY We’re hiring two Senior Data Engineers to join an international, people-first software engineering company known for…
Senior Data Engineer at Automat-it, an AWS Premier consulting/MSP partner, builds and optimizes production data pipelines, lakehouses, and warehouses on AWS for customers across EMEA and the US — hands-on work with Spark/PySpark, Python/SQL, Redshift, Iceberg, Glue, and Kafka. Fully remote from Ukraine.
Senior Software Engineer (Data) at a global proprietary trading firm (via Intec Select) in Chicago, NYC or London (hybrid). The engineer builds low-latency, high-throughput data platforms and batch/streaming pipelines for options, delta-one and FICC trading data, using Python/Java/C++, Kafka, Airflow/Dagster and lakehouse formats.
Senior Data Engineer in Dubai who leads the design, build, and optimization of batch and real-time data pipelines, owning data modeling, ingestion, and lakehouse platform reliability while mentoring the team. Core stack: dbt, Airflow, Spark/PySpark, Dremio/Iceberg on S3, Python, advanced SQL, and hands-on NoSQL stores.
DevOps engineer at Zig (ComfortDelGro's mobility tech brand) automating multi-cloud infrastructure on AWS/GCP/private cloud with Terraform, Bitbucket CI/CD, Docker and Kubernetes/ArgoCD, while also operating an AWS Lakehouse data platform (Databricks, Iceberg, Polaris, Airbyte, Cube) and supporting monitoring, security and audits.
Fully remote data engineer at a fintech trading firm: design, build, and operate a petabyte-scale market-data lakehouse — capturing and normalizing raw exchange feeds (PCAP, ITCH, FIX), building batch/streaming pipelines, and running the Iceberg-on-S3 platform on Kubernetes. Core stack: Python, SQL, Apache Iceberg, Spark, Airflow; Rust a plus.
Staff engineer on PlayStation's Data Platform team designing and evolving the Real-Time Analytics Platform (RTAP) — large-scale streaming and analytics systems built with Python (Scala helpful), Flink, Spark Structured Streaming, Kafka/MSK, ClickHouse and Druid. Owns architecture end-to-end, mentors engineers, and shares production on-call.
Data Engineer on a 1-year contract via Hykmann Global Business Solutions AB in Malmö, Sweden (hybrid: 3 days/week on-site at the client's office). Day to day: building data pipelines and backend APIs with Python plus Java/Scala, with Spark, Flink, Kafka, Iceberg, Snowflake, Kubernetes and Akka as nice-to-have technologies.
TechedIn is hiring a fully remote Data Platform Engineer (5+ years) to design logical/physical data models, build analytics-ready Tier-2 models, and develop batch and streaming ingestion/transformation pipelines with data-quality controls. Core stack: Python, Java, SQL, Apache Iceberg, and Airflow.
Installs, configures, and operates an on-premises modern data lakehouse platform, managing infrastructure, security integration, and platform reliability across Development, QA, and Production environments. Core stack includes MinIO, Apache Iceberg, Starburst/Dremio, Spark, Informatica, Linux, VMware, and container orchestration.
Data Engineer in Saudi Arabia who designs, builds, and optimizes Spark-based ETL/ELT pipelines on an on-premises lakehouse platform. Core stack includes Apache Spark, Apache Iceberg, MinIO, Informatica, and Denodo/Starburst/Dremio for analytics enablement, with 5-10 years of experience required.
Macquarie Group is hiring a Data Platform Engineer in London to design, build and optimise a petabyte-scale data lake and warehouse serving trading teams. Day to day it's cloud data engineering on AWS (S3, EKS, Glue, Airflow, Trino, Redshift, moving to Apache Iceberg) with heavy DevOps/CI-CD automation.
Data Engineer at the Australian Securities Exchange (ASX), embedded in a line-of-business data product team to ingest, curate and publish ASX's core data assets as files, reports, dashboards and APIs. Day-to-day is hands-on AWS data engineering (Glue, Iceberg, Athena, Redshift, DataZone) with Kafka streaming, Python, Spark and Terraform.
Cloud/Platform Engineer building a production-ready data lake environment for the municipality of Vlaardingen (Gemeente Vlaardingen) within T-Cloud: translating architecture into a secure, working platform with integrations. Core stack is open source: Apache Iceberg, Kubernetes, Apache Spark, Airflow, plus IAM/SSO and logging.
Senior engineer in Eraneos' Dutch Data & AI consulting team who designs, builds and runs sovereign data platforms for clients from open-source components — Iceberg, Trino/Spark, Kubernetes/OpenShift — deployed on-prem, on EU cloud or hyperscalers. Daily hands-on coding plus architecture choices and client-facing technical leadership.
Senior data engineer at Eraneos, a Dutch management & technology consultancy, building fully open-source data platforms for clients: batch ingestion with dlt, modeling with dbt/SQL into lakehouse tables (Iceberg/Delta/DuckLake), orchestration with Airflow/Dagster, and serving data via Trino/DuckDB/PostgreSQL and Superset dashboards. Client-facing role across multiple projects.
Platform engineer on OCBC's enterprise data team, administering the bank's Data, Analytics and AI/ML platforms — Cloudera CDP/CML, Hadoop and Spark across hybrid AWS and on-premises infrastructure, plus Kubernetes/OpenShift and AWS AI services. Day to day: platform upgrades, security patching, monitoring, troubleshooting, and automation with Python/Shell.
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