At a Glance
- Tasks: Architect and maintain internal database structures while optimising data queries.
- Company: Leading Retail Consultancy with a focus on data insights.
- Benefits: Competitive salary, flexible remote work, and growth opportunities.
- Other info: Only 1 day a month in the office, perfect for students!
- Why this job: Join a modern BI team and make an impact on client-facing reporting solutions.
- Qualifications: Strong SQL skills and experience in Azure Data Factory required.
The predicted salary is between 45000 - 55000 £ per year.
Azure Data Engineer – Thame – Remote – 1 day Month in Office - £50,000
My client is a leading Retail Consultancy that work with a number of high profile Retail chains, consuming data and providing Insight and Reports.
Due to exciting growth we are looking for an ambitious and skilled
Azure Data Engineer to join the Business Intelligence function and play a key role in architecting, maintaining and troubleshooting internal database structures.
As the new
Azure Data Engineer you’ll be part of the Database team, working closely with the reporting and QA teams to deliver top level data outputs for internal and external facing reporting, including 3rd party integrations.
On a daily basis the
Azure Data Engineer will be responsible for
- Build and Refine queries, CTE’s, stored procedures, views and functions
- Create and Maintain tables, indexes, constraints, schemas and triggers
- Diagnose slow queries using execution plans, cardinality estimates, IO and wait stats
- Design optimized queries for CPU, IO and memory usage, reducing locking.
- Checking job schedules, ETL Pipelines and data freshness
- Build and Maintain ingestion pipelines
- Enforce constraints, referential integrity and validation rules
- Support compliance requirements
- Document data pipelines, schemas, stored procedures, data flows and standards
- Promote best practices
- Plan for Scalability
- To be considered for this role as our
Azure Data Engineer you should have experience of
- Strong experience developing in SQL from creating database models from scratch
- Solid understanding of Data Warehousing (star schema, fact/dimension design)
- Expert in writing efficient TSQL code
- Proficient in query optimization, partitioning and index design.
- Good understanding of data cleansing and preparation
- Strong analytical and problem-solving skills.
- Ability to collaborate across the whole BI team
- Practical and proven experience in designing and deploying Azure Data Factory data pipeline.
- Translating business questions into SQL and explaining query logic clearly
- This is a fantastic opportunity for an experienced
Azure Data Engineer to work on high-impact, client-facing reporting solutions.
You will be part of a modern, collaborative BI team with a clear structure and growth plan.
The role is only 1 day a month in the office and offers competitive salary and benefits package.
Interested?
Apply now for an immediate interview.
#INDMM
Azure Data Engineer in Birmingham employer: 360 Resourcing Solutions Careers
Join a dynamic and expanding team in Nottingham as a Control Panel Wirer, where you will benefit from a supportive work culture that prioritises employee growth and development. With a competitive salary, a 4-day working week, and opportunities for overtime, this role offers not just stability but also a chance to enhance your skills in a collaborative environment. Experience the satisfaction of working with a company that values your expertise and commitment to quality.
Contact Details:
360 Resourcing Solutions Careers Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Azure Data Engineer in Birmingham
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We think you need these skills to ace Azure Data Engineer in Birmingham
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
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Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
