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# data engineer for finance data

- **Company:** Miq
- **Location:** London, UK
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, JIRA, Microsoft Azure, Business Systems, Software as a Service, Information Engineering, Data Integration, Data Transformation, Data Stores, Data Warehousing, Github, Apache Hadoop, Apache Hive, Systems Development Life Cycle, Release Management, Salesforce.Com, Software Engineering, Data Streaming, Sql Optimization, Apache Spark, Pyspark, Workday Studio, Bitbucket, Data Management, Data Pipelines, Workday, Databricks
- **Published:** September 25, 2026
- **Apply:** https://www.apply4u.co.uk/jobs/data-engineer-for-finance-data/48276954

## About the Role

high data quality and integrity, Strong software development skills with Hadoop technologies such as Hive and Spark;Experience with Workday Studio and managing code within the Workday environment;Knowledge of SaaS applications such as Salesforce or other CRM systems;Knowledge of release management, incident management, and SDLC methodologies using Bitbucket/GitHub and JIRA;Understanding of infrastructure components such as clusters, nodes, compute, and storage;Proven problem-solving skills with the ability to anticipate roadblocks, diagnose problems, and generate effective solutions;Strong stakeholder management and communication skills;Nice to have: Experience with Databricks, Salesforce, and other CRM systems.Условия:A hybrid work environment;New hire orientation with job-specific onboarding and training;Internal and global mobility opportunities;Competitive healthcare benefits;Bonus and performance incentives;Generous annual PTO and paid parental leave;Two additional paid days for
holidays, cultural events, or inclusion initiatives;Employee resource groups across all MiQ regions. #J-18808-Ljbffr

## Description

Описание:MiQ is a global programmatic media partner for marketers and agencies. It helps lead and improve the programmatic advertising industry through global teams and technology.Задачи:Develop and maintain back-end data warehouse systems for products and applications;Build automated, scalable, and robust data pipelines across critical business systems to Finance data repositories;Manage Finance integrations and data pipelines;Manage end-to-end data flows;Learn and use new tools and SaaS systems;Act as a Tech SME in data engineering, data integration, and data management;Apply leading design standards and implementation methodologies.Требования:Experience in data engineering and data integration;Experience building and managing data pipelines on Azure or AWS;Hands-on experience with Notebook PySpark coding, preferably on Databricks;Advanced SQL skills for developing and optimizing data pipelines;Understanding of data modeling and data transformation techniques, Knowledge of maintaining


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