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Senior analytics engineer on Aceable's small BI & Data Engineering team, owning data products end to end: building and troubleshooting Snowflake/dbt pipelines, designing semantic models and AI agents, and delivering Power BI dashboards for the company's online licensing-education business.
Own the product roadmap and operational delivery for FP&A capabilities powered by Microsoft Fabric, partnering with Finance, Data & Analytics, and Engineering to improve planning, forecasting, and financial reporting.
Data Engineer designing, building and maintaining end-to-end data pipelines and Customer Data solutions on Google Cloud (BigQuery, Cloud Composer/Airflow, Python, SQL) for a large global client across LATAM. Hybrid role based in Munro, Buenos Aires with one office day per week, hired as a contractor; advanced English is mandatory.
Senior Data Engineer (staffing engagement for a Sky Systems client) who designs and builds scalable data pipelines and system integrations for enterprise analytical platforms. Core stack: Databricks/Snowflake lakehouse (Delta Lake, Unity Catalog), PySpark, advanced SQL, Python, Airflow orchestration, dbt, streaming ingestion, and AWS/Azure/GCP cloud services.
12-month contract (day rate) in Galway for a Data Engineer to design data models, build analytics-ready datasets in Snowflake, and develop cloud-native pipelines on AWS — including streaming with Kafka/Kinesis — with CI/CD and Terraform-based automation.
Hands-on lead data engineer for Far Eastern University's DGA Office in Manila, owning ETL/ELT pipelines, dimensional data models and governed, analytics-ready datasets across academic, HR and finance domains. Core stack: SQL, Python, cloud data platforms (Microsoft Fabric/Azure preferred), Git, testing and monitoring.
Senior data engineer in Dubai owning production data pipelines end to end: building batch ETL/ELT and a lakehouse with dbt, Airflow, Spark/PySpark, Iceberg and Dremio on S3 storage, using Python and advanced SQL, plus hands-on work with NoSQL stores like Redis, MongoDB, Cassandra and Elasticsearch. Requires 10+ years of data engineering experience; on-site.
Senior Data & AI Engineer at IT services firm Coforge: builds AI/LLM-powered applications and backend services with Python, TypeScript, and AWS, plus end-to-end data pipelines and scalable data architecture using Databricks, Apache Spark, and DBT. Remote, open to candidates in Colombia, Costa Rica, Peru, and Bolivia.
Contract role acting as the lead Snowflake architect on a multi-year data platform program at a major bank in Stockholm — defining warehouse/security/cost architecture (~300 transformation jobs) and guiding a migration from Snowpark (Scala) to dbt + Python. Core tech: Snowflake, SQL, Scala/Python, dbt.
Senior BI Developer who turns complex business requirements into enterprise-grade dashboards, reports, and data models for data-driven decision making. Core work involves SQL, ETL/data warehousing, and BI tools like Power BI, Tableau, or Looker, plus mentoring junior developers.
Mid-level data engineer designing, building, and maintaining ETL/ELT pipelines and Snowflake data warehouse models, primarily using Python, SQL, and DBT, while supporting BI dashboards in Power BI or Tableau for analytics and reporting.
Techedin is hiring a Data Platform/Data Engineer for a 100% remote (Canada) T4 contract at CAD 70–75/hr to design dimensional data models and build batch and streaming pipelines for analytics. Core stack: Python, Java, SQL, Apache Iceberg, Airflow, Spark, Kafka, Flink, Snowflake, and AWS.
Junior analytics engineer at Another Star, the company operating 37 citizenM hotels, based at the Leiden support office (hybrid, ~2 office days/week). Day to day: build ELT/ETL pipelines and bronze–silver–gold data models on Databricks with SQL and PySpark/Python, and deliver PowerBI dashboards and ad hoc analyses for hotel operations and guest-experience insights.
A senior BI/ETL data engineer on the Central BI Team in London, building data extraction and reporting solutions, optimising ETL, and ensuring data-warehouse quality for Lloyds Syndicate 218. Core stack is Microsoft BI: T-SQL, SSIS/SSAS/SSRS, with Kimball dimensional modelling and stakeholder work alongside underwriting, claims and finance teams.
Lead Data Engineer role in the UK: designing data models and building/maintaining production data pipelines and warehouse architecture using SQL, Snowflake, and AWS, with Git-based CI/CD and automated testing. Posted via recruiter Reperio Human Capital.
Salary: £? - ? per year Requirements: Strong SQL Server and data warehouse migration experience Power BI report and semantic model design, including DAX and performance Dimensional modelling and clear metric…
Analytics Engineer at Data Idols in Leamouth, East London, who designs, builds and maintains scalable data models and ELT pipelines. Core stack is dbt, advanced SQL, and a modern cloud data warehouse (ideally BigQuery on GCP).
Senior Data Engineer on the Index Engineering team building and evolving data platforms for large-scale financial datasets (securities master data, corporate actions, market data) using Python, dbt, BigQuery, and Apache Airflow on GCP. Day to day: designing ELT pipelines, data models, reconciliation/quality checks, and FastAPI data APIs.
Builds and maintains enterprise data and analytics solutions for Azenta, a life sciences company: designing ETL pipelines, managing Snowflake and PostgreSQL data platforms, developing AWS data lake datasets (S3, Glue, Athena, Lambda, SageMaker), and curating governed data for dashboards, self-service BI, and AI/ML initiatives. Hybrid role: 4 days in-office in Plainfield, 1 day remote.
Senior data engineer building and maintaining scalable data pipelines in Databricks, transforming data with SQL, Python, and PySpark, and developing/optimising Power BI reports and data models. Open to candidates in Wellington or Christchurch, NZ, with valid NZ working rights.
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