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City : Warsaw State : Mazowieckie (PL-MZ) Country : Poland (PL) Requisition Number : 47633 Data Engineer We are seeking a highly motivated and experienced Data Engineer with expertise in data engineering, data…
Transport is at the core of modern society. Imagine using your expertise to shape sustainable transport and infrastructure solutions for the future. If you seek to make a difference on a global scale, working with…
#ZCC Zurich Capability Center is currently hiring a: Data Engineer - Databricks Responsibilities As a Data Engineer, your main tasks will involve: Design, build, and maintain scalable data pipelines using Databricks…
About the Role We are looking for a Data Engineer – Platform & Analytics to join our regional edge platform data team supporting digital business across Asia-Pacific. This role sits within a technical team closely…
Some careers shine brighter than others. If you’re looking for a career that will help you stand out, join HSBC and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in…
Data Architect (m/w/d) - Schwerpunkt Databricks Standort: Köln, HQ Eintrittsdatum: ab sofort Arbeitszeit: Vollzeit Befristung: unbefristet Die DEUTZ AG hat sich in den letzten Jahren zu einem Systemanbieter innovativer…
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently…
City : Rotterdam State : Zuid-Holland (NL-ZH) Country : Netherlands (NL) Requisition Number: 47819 Hybrid- in Rotterdam only Data Engineer Data Engineer will work closely with a multidisciplinary Agile team to build…
A senior individual-contributor analytics engineer who designs, builds, and maintains dbt data models end to end (source to mart), keeping metrics consistent and the warehouse trustworthy. Core stack: dbt, SQL, Python, a cloud warehouse (Snowflake/BigQuery/Redshift), Airflow/dbt Cloud, Git, and BI tools like Looker.
Senior data engineering consultant at UK tech consultancy Opencast, designing and building lakehouse/warehouse data platforms for clients using Microsoft Fabric, Azure, PySpark and SQL, and contributing mentoring and technical leadership. Hybrid role with regular travel to client sites across the UK; UK SC security clearance (or eligibility) is required.
Senior Data Engineer at an AI-powered SaaS company in London (hybrid, 4 days a week). Day to day you design and build cloud-native ETL/ELT pipelines and data models for analytics and AI workloads, integrate ML outputs into production, and set monitoring/governance standards using SQL, Python, Azure/AWS/GCP, and CI/CD.
Data Engineer at a global financial services firm specialising in fund administration and corporate services in Northern Ireland. Day to day: designing and maintaining ETL/ELT pipelines, data warehouses and data lakes in Microsoft Fabric, using SQL, Python, dbt Cloud and Azure Data Factory, and partnering with Power BI analysts and business stakeholders.
Build and maintain data pipelines and a self-serve data platform supporting Boots' business domains (Pharmacy, Supply Chain, Digital, Products, Opticians) within a multidisciplinary, domain-focused squad. Core stack: SQL, Python, Azure, Databricks, and Spark in an on-site Nottingham (Beeston) role.
Data engineering role focused on designing and maintaining Snowflake data warehouses, dbt transformation pipelines, and ETL/ELT workflows with Airflow orchestration and CI/CD integration. Requires 3-5+ years in data/analytics engineering with strong SQL and Python; candidates must attend an onsite interview in Jersey City, NJ.
A mid-level Analytics Engineer owning end-to-end data pipelines, semantic modelling, and Power BI dashboards for enterprise clients in Australia. Day to day, they partner with stakeholders to define metrics and trusted data models across cloud warehouses and modern transformation tools, bridging data engineering, analytics, and client delivery.
Hands-on Data Engineer joining a newly formed Data & Insights team at a major Australian multi-site retail and franchise network in Sydney, building ELT pipelines and dbt (medallion) models into Snowflake. Core stack: SQL, Python/Snowpark, Snowflake, dbt, Azure Data Factory/ADLS, iPaaS integrations, and Power BI, plus LLM/AI initiatives.
Senior data engineer (8+ years) designing, building, and tuning ETL/ELT pipelines and dimensional data models on Amazon Redshift and AWS (Glue, S3, Lambda, Step Functions), using Python and SQL. The role is with XPT Software, an IT services firm that places engineers at client sites across Australia.
XPT Software, an IT services company in Queensland, Australia, is hiring a DBT Data Engineer with 8+ years of data engineering experience. The role designs and maintains dbt-based transformation pipelines, SQL data models, and data quality/testing frameworks on cloud warehouses such as Snowflake, Databricks, Redshift, or BigQuery.
Mid-level Analytics Engineer at a data and AI consultancy in Victoria, Australia, owning the journey from raw data to insight: building end-to-end pipelines, semantic/dimensional models and Power BI dashboards for enterprise clients. Core stack is SQL, dbt, cloud data warehouses (GCP/BigQuery preferred) and Power BI, with heavy stakeholder interaction.
Data Engineer II at mPulse Mobile designing, building, and maintaining scalable ETL/ELT pipelines and data platform capabilities for high-volume healthcare data, supporting analytics, product, and AI/ML initiatives. Core stack: SQL, Python, dbt, Apache Airflow, cloud data warehouses (e.g., Snowflake, Redshift), and AWS.
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