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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.
A hands-on senior data engineer who owns the architecture, operation and development of Cash Access UK's data platform built on Microsoft Fabric and Azure — building pipelines, data models, governance and APIs as the platform moves from supplier delivery to in-house business-as-usual, supporting Power BI reporting and trusted data across the business.
12-month W2 contract Data Engineer role designing and owning dimensional data models, batch pipelines, dashboards, and data-quality checks for a large-scale robot teleoperation and wearable data collection operation at a major tech company. Core stack: Python, distributed SQL (Presto/Trino/Spark SQL/BigQuery/Snowflake), Airflow/Dagster, and BI tools.
Designs, builds, and scales enterprise data platforms, pipelines, and AI/LLM-enabled capabilities for GeBIZ X, a Singapore government procurement product run by GovTech for MOF. Day-to-day spans ETL/ELT, data modelling, DataOps, and MLOps using Python/Scala/Java, Spark, Kafka, and cloud platforms like AWS, Snowflake, and Databricks. 2-year fixed-term contract.
Senior Data Engineer at a Singapore proprietary trading firm who designs, builds, and operates the end-to-end data infrastructure for research and trading — ingesting and transforming large volumes of market data, news feeds, and internal sources using SQL, Python/Java/Scala, Spark, Kafka, Airflow, dbt, and warehouses like Snowflake.
Build and operate Kaseya’s scalable data platform, designing real-time pipelines and event-driven systems to power analytics, AI, and automation across millions of endpoints.
Design and maintain cloud-native data pipelines and warehouses on AWS to power analytics and AI for a fitness SaaS platform serving 10M+ gym members.
Build and optimize cloud-native data pipelines on AWS for an AI-first sports management platform, focusing on warehousing, modeling, and reliability for analytics and AI systems.
Data Engineer in Perth building and optimising an enterprise cloud data platform for a Peoplebank client. Day to day involves designing dbt Core models and data pipelines on Snowflake, refactoring for performance, and collaborating via code reviews using SQL, Python, Databricks and Git.
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