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Euromonitor International provided pay range
This range is provided by Euromonitor International. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
The Data Platform Engineer is responsible for the implementation of data centric business deliverables – data manipulation, building data systems and data pipelines. It is expected that the Data Platform Engineer can contribute to data solution design and articulate this back to the business with clarity. Designed and/or implemented business solutions will be considered fit for purpose on several levels notably: cost, requirement, resilience, performance, security and future proofing/improvements. The Engineer will collaborate with and support technology teams, data researchers, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. This person would also be key in the distribution of knowledge and skills around data manipulation and data flow services to the wider Technology team/members.
Key responsibilities
- Data Solutions Implementation – applying business‑data logic to identify, design and implement internal process improvements: automating manual processes, optimizing data delivery, re‑designing.
- Performance and Testing – ensure that products in production perform as efficiently and effectively as possible and follow internal testing practices applying appropriate review strategies.
- Continuous Learning – stay up to date with industry standards and technological advancements that improve product development quality, business continuity, performance, security and cost savings.
- Creating best practices – create, lead and contribute to creation of best practices and standards for any business solutions the team owns.
- Monitoring and Support – keep any services the team owns in best health, respond to incidents and propose solutions for improvements.
- Training/Coaching – spread the knowledge learned. Train and coach colleagues on products, services the team owns and the standards and best practices to follow.
- Documentation – create required documentation to meet business objectives and compliance requirements.
Requirements
- Skilled in SQL (T‑SQL) programming
- Skilled in Data Processing and Integration Tools (ADF / SSIS)
- Skilled in Data Storage and Management Systems, Data Formats (RDBMS / NoSQL / JSON / XML)
- Skilled in working with Microsoft Azure Data Services
- Skilled in CI/CD Tools (preferably Azure DevOps)
- Skilled in writing infrastructure as code scripts (ARM Templates / PowerShell / Bash)
- Advanced programming skills
- Microsoft Azure Fundamentals certified
- Microsoft Azure Data Engineer Associate certified
- Experience in Agile methodologies
- Experience in Business Intelligence tools (SSRS / PowerBI / Tableau)
- Advantageous – Microsoft Certified: Fabric Data Engineer Associate
- Advantageous – Experience in Microsoft Fabric
- Advantageous – degree in Computer science, IT or similar
- Advantageous – any other data engineering or Cloud platform certifications
Benefits
Benefits are provided upon offer.
Seniority level
Mid‑Senior level
Employment type
Full‑time
Job function
Engineering and Information Technology
Industries
Technology, Information and Internet
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