Data Engineer - Azure

Data Engineer - Azure

Stratford-upon-Avon Full-Time 36000 - 60000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Work on exciting data projects and create modern data platforms using Azure.
  • Company: Join a growing organisation focused on innovative BI & Data strategies.
  • Benefits: Enjoy a predominantly remote role with opportunities for learning and development.
  • Why this job: Be part of a dynamic team transforming data environments and exploring AI applications.
  • Qualifications: Experience in data pipeline creation, ETL with Azure Data Factory, and strong stakeholder management.
  • Other info: Visit the Walsall office twice a month and collaborate across various business divisions.

The predicted salary is between 36000 - 60000 £ per year.

Like data and love solving problems? Want to work on a number of new and exciting data projects and help deliver a BI & Data strategy for a growing organisation?

You’re probably looking for a role that challenges you daily, a role where your efforts aren’t focused mostly on maintenance and support. You want to be working on varied data projects and utilising the full set of your technology skills whilst driving new areas like Azure / cloud, and all the new tools to play with – Azure Data Factory, Azure Databricks – what about AI?

In this predominantly remote you will help create, mature, and grow, a data estate designing and creating modern data platforms to fundamentally transform the data environment.

The projects are varied, from setting up new data pipelines, integration/ETL across all the different disparate business systems and all the relevant data flows to BI strategy around AI.

You’ll be working with all the different business divisions and moving them away from their old environment to a new Azure data solution to release the power and potential of the data across the organisation.

We need a few basics from you:

  • Data pipeline creation
  • Strong ETL development experience with Azure Data Factory
  • Datawarehouse and data storage concepts – star schema/snowflake/Kimball
  • Azure Databricks and AI
  • Power BI reporting skills would be advantageous
  • Strong stakeholder management experience

After a few weeks of induction and meeting the business you’ll visit the Walsall offices circa twice a month, working in a great team with the opportunity to learn a lot, with a view to applying AI to this developing environment.

To be considered please click apply to send through your most up to date CV or call the office and ask for Jonathan for more details – 01789 269677

Big Red Recruitment is working on this opportunity on an exclusive basis.

Unfortunately, my client isn’t able to provide sponsorship for this role. #J-18808-Ljbffr

Data Engineer - Azure employer: Big Red Recruitment

Join a forward-thinking organisation that values innovation and collaboration, where as a Data Engineer - Azure, you'll engage in exciting data projects that drive real change. With a predominantly remote work culture, you will enjoy flexibility while being part of a supportive team based in Walsall, offering ample opportunities for professional growth and the chance to work with cutting-edge technologies like Azure and AI. This is not just a job; it's a chance to make a meaningful impact in a dynamic environment that prioritises your development and success.
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Contact Detail:

Big Red Recruitment Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Engineer - Azure

✨Tip Number 1

Familiarise yourself with Azure Data Factory and Azure Databricks. These tools are crucial for the role, so demonstrating your knowledge or experience with them during any discussions can set you apart from other candidates.

✨Tip Number 2

Showcase your problem-solving skills by preparing examples of past projects where you've successfully implemented data pipelines or ETL processes. This will highlight your ability to tackle challenges head-on, which is key for this position.

✨Tip Number 3

Engage with the company’s online presence. Follow them on social media and participate in discussions related to data engineering and Azure technologies. This can help you understand their culture and values, making it easier to connect during interviews.

✨Tip Number 4

Prepare to discuss your stakeholder management experience. Since you'll be working across various business divisions, being able to articulate how you've effectively communicated and collaborated with different teams will be a significant advantage.

We think you need these skills to ace Data Engineer - Azure

Data Pipeline Creation
ETL Development with Azure Data Factory
Data Warehouse Concepts (Star Schema, Snowflake, Kimball)
Azure Databricks
Azure AI Integration
Power BI Reporting Skills
Strong Stakeholder Management
Problem-Solving Skills
Cloud Computing Knowledge
Data Integration Techniques
Communication Skills
Adaptability to New Technologies
Collaboration Skills
Attention to Detail

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience with data pipeline creation, ETL development using Azure Data Factory, and any relevant data warehousing concepts. Use specific examples to demonstrate your skills in these areas.

Craft a Compelling Cover Letter: In your cover letter, express your passion for data and problem-solving. Mention your interest in working on varied data projects and how you can contribute to the BI & Data strategy of the organisation.

Showcase Relevant Skills: Emphasise your experience with Azure Databricks, Power BI reporting, and stakeholder management. These are key skills for the role, so provide concrete examples of how you've successfully used them in past projects.

Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism.

How to prepare for a job interview at Big Red Recruitment

✨Showcase Your Technical Skills

Make sure to highlight your experience with Azure Data Factory, Azure Databricks, and ETL processes during the interview. Be prepared to discuss specific projects where you successfully implemented these technologies.

✨Demonstrate Problem-Solving Abilities

Since the role involves solving complex data challenges, be ready to share examples of how you've tackled difficult problems in previous positions. Use the STAR method (Situation, Task, Action, Result) to structure your responses.

✨Understand the Business Context

Research the company and its data strategy before the interview. Understanding how your role as a Data Engineer fits into their overall business goals will show your enthusiasm and readiness to contribute.

✨Prepare for Stakeholder Management Questions

Given the importance of stakeholder management in this role, think of examples where you've effectively communicated with different teams or departments. Highlight your ability to translate technical jargon into understandable terms for non-technical stakeholders.

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