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Data Engineer / Tech Lead (AWS Data Platform)
Lead data engineer for Bridgenext, designing and building a modern AWS-based data platform with Medallion Architecture — building ingestion and ETL/ELT pipelines, managing Glue jobs and S3 data lakes, and implementing data quality and governance. Requires 5 years leading DE teams plus strong AWS, SQL, and IAM skills.
Data Architect
AllCloud, an AWS/Salesforce cloud consulting firm, is hiring a Data Architect in Ra'anana to lead the architectural design of an enterprise data warehouse on AWS. The role selects AWS data services (Redshift, Glue, Athena, EMR), designs large-scale data pipelines, mentors data engineers, and supports BI and GenAI initiatives.
Data Engineer
Data engineer at Hypercube Consulting, a fast-growing UK data-and-AI consultancy serving the energy sector. Day to day you turn client requirements into designs and build, test and deploy cloud data platforms and pipelines (Python, SQL, AWS/Azure/GCP, lakehouses) from event streaming to big data analytics, plus contribute to pre-sales and outreach.
Data Engineer In High-Volume Systems
Data engineer at BETWEEN Group building and optimizing ETL pipelines that handle large data volumes, using Python, SQL, Airflow, and cloud platforms (AWS/GCP/Azure) to turn data into business decisions. Hybrid role in Barcelona with 1 day per week in the office.
Data Engineer
Data Engineer at Hamelyn, a Spanish second-hand ecommerce platform, building and scaling its data infrastructure: ETL/ELT pipelines, data marts, dashboards, data quality and analytics/predictive models using SQL, Python, MongoDB, cloud and warehouses like BigQuery/Snowflake/Redshift. Reports to the Data Lead; on-site hybrid in Madrid.
Data Engineer
Data Engineer in Barcelona (hybrid, 1 day/week onsite) at IT consultancy BETWEEN Group, joining a tech product team handling large data volumes. Day to day: building Python data pipelines and ETL processes, working with Airflow orchestration, SQL/Redshift, CI/CD with Git, and cloud deployments (AWS/GCP/Azure) in an Agile, product-oriented environment.
Analytics Engineer – Data & Analytics (Remote, LATAM)
Remote LATAM contractor joining Rankings.io's Data & Analytics team (an SEO/digital-marketing agency for elite law firms): building and maintaining tested dbt models in BigQuery, onboarding new data sources, tuning SQL for speed and cost, and shipping Looker Studio dashboards. Stack: GCP, dbt, Python, Terraform, GitHub Actions.
Senior Data Engineer AWS Analytics
Senior Data Engineer at Farm Credit Canada (Regina, hybrid) building trusted data foundations for the Financial Modelling team — designing scalable repositories, automated pipelines and ETL/data-governance solutions using AWS (Redshift, Glue, Lambda, S3, Step Functions), Python, PySpark and advanced SQL to support forecasting, pricing and planning.
Staff Data Engineer
Staff-level data engineer providing hands-on technical leadership for Payments data platforms, data products and batch/streaming pipelines at CommBank. Day to day: designing AWS-native (S3, EMR, Glue, Lambda, Redshift) and Snowflake solutions in Python/PySpark, setting architecture standards, and mentoring engineers.
Sr. Data Engineer
Senior Data Engineer in Perth building real-time and batch data ingestion frameworks on AWS: SageMaker Unified Studio, Kinesis/Kafka streaming, Glue/Spark batch, Redshift/RDS/DynamoDB storage, Airflow orchestration, CloudWatch monitoring, plus CI/CD and IaC. Advanced Python (Boto3) is core to the role.
Python Data Engineer Cloud
12-month contract (W2/C2C, $80-85/hr) Cloud Data Engineer placed by staffing firm Brains Workgroup at a major bank in Central NJ; hybrid with 1-2 days per week on-site in Iselin. Day-to-day is building and optimizing Python/SQL ETL pipelines with Spark in Databricks on Azure, covering Delta Lake, data modeling, and streaming data.
Data Engineer (Remote, Flexible Working Hours)
Data Engineer at TE Connectivity's analytics team (First Sensor) in Muntinlupa, Philippines, building ETL pipelines and data warehouse/lake solutions on-prem and in the cloud (AWS, SAP HANA, Oracle) to power enterprise analytics. Day to day: designing, developing, testing, and troubleshooting ETL jobs and BI pipelines using PL/SQL, Talend/SAP BODS, and CI/CD tooling.
SC‑Cleared Data Engineer: Live Services & Observability
Data engineer providing live support, monitoring and observability for a public-sector data platform — stabilising critical services and improving alerting. Works across Denodo, Talend, Pentaho (PDI), MySQL and AWS Redshift, building Grafana dashboards; on-site two days a week in West Midlands with active SC clearance required.
Data Engineer - Active SC, Talend, PDI
6-month inside-IR35 contract (£475/day) for an SC-cleared Data Engineer supporting live services in a public-sector data environment in the West Midlands (2 days onsite/week). Day-to-day involves monitoring, alerting and production support across Denodo, Talend, Pentaho (PDI), Git, MySQL and Amazon Redshift, plus building Grafana dashboards.
Remote Data Engineer: AWS, Python & SQL Pipelines
Data engineer building and scaling an AWS-based data platform for a growing financial services client through Maxwell Bond. Day to day: designing Python and SQL data pipelines, working with S3, Glue, Lambda and Redshift, and owning infrastructure and data models. Fully remote within the UK.
Data Engineer
Data engineer joining a new data team at a growing UK financial services firm to build Python and SQL data pipelines on AWS (S3, Glue, Lambda, Redshift), integrate internal and external data, automate reporting, and own infrastructure and data models. Fully remote within the UK; salary up to £80,000.
DataState Data Engineer
12-month contract (inside IR35, hybrid in London) DataStage data engineer on a public-sector data integration and migration programme. Day-to-day: building ETL pipelines and warehouse solutions with IBM DataStage, AWS (Redshift, S3, QuickSight), Java and SQL, with DevSecOps practices via GitHub/GitLab.
Data Engineer
Data Engineer who designs, builds, and maintains scalable ETL/ELT pipelines, data warehouses, and data lakes to deliver reliable data for reporting, analytics, and machine learning. Core stack includes SQL, Python, cloud platforms (AWS/Azure/GCP), Spark, Kafka, Airflow, and Snowflake.