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For Companies At a Glance
- Tasks: Design and implement data flows in Azure, ensuring data integrity and quality.
- Company: Join a growing organisation focused on improving financial well-being across the UK.
- Benefits: Enjoy up to 30 days annual leave, health cash plans, and flexible working options.
- Why this job: Make a real impact by leading innovative data solutions in a collaborative environment.
- Qualifications: Proven experience in Azure data engineering and strong ETL process skills required.
- Other info: Access to professional development and an award-winning leadership academy.
The predicted salary is between 48000 - 72000 £ per year.
Join a growing data function within an organisation dedicated to helping people across the UK improve their financial well-being. In this role, you’ll be responsible for designing and leading the implementation of data flows that connect operational systems for analytics, primarily within an Azure environment.
What you'll do:
- Data Pipelines and ETL Processes: Design, develop, and implement ETL (extract, transform, load) processes and meta-data driven data pipelines using tools like Azure Data Factory and Apache Spark.
- Monitoring and Failure Recovery: Create monitoring procedures to detect failures or unusual data profiles and establish recovery processes to ensure data integrity.
- Azure Services: Use Azure's suite of services, including cloud-based data technology platforms and Data Lake-based storage, to ensure data solutions are scalable and reliable.
- Collaboration and Leadership: Partner with data scientists, analysts, and other stakeholders to deliver solutions that meet their data needs. You will also provide technical leadership and mentorship to junior data engineers.
- Data Governance and Quality: Enforce data governance policies, maintain high standards of data quality and security, and ensure only thoroughly tested, high-quality code and architecture are delivered.
What you'll bring:
- Proven experience as a Data Engineer, with a focus on Azure services.
- Strong expertise in designing and implementing ETL processes.
- Experience using SQL to query and manipulate data.
- Proficiency in Azure data tooling such as Synapse Analytics, Microsoft Fabric, Azure Data Lake Storage/One Lake, and Azure Data Factory.
- Experience with monitoring and failure recovery in data pipelines.
- Understanding of data extraction from vendor REST APIs.
- Strong communication, collaboration, and problem-solving skills.
- Knowledge of modern data architecture principles like Data Lakes, External tables, and medallion architecture is an asset.
- Experience with Spark/PySpark or Python is a bonus, or a willingness to develop these skills.
Benefits:
- Pension scheme: a salary sacrifice scheme with a 2:1 employer match on contributions up to 10% of your salary.
- Annual Leave: up to 30 days of annual leave plus bank holidays.
- Life Assurance Plan: a lump sum payment of up to 4 times your salary.
- Financial Benefits: includes bi-annual pay reviews, interest-free season ticket and parking permit loans, a Cycle to Work scheme, and a "Give as You Earn" scheme for charitable donations. You can also get one-on-one financial wellbeing sessions and access discounts.
- Health and Wellbeing: Health Cash Plan, discounted gym memberships, funded eye tests, and seasonal flu vouchers. You'll also have access to a confidential Employee Assistance Programme (EAP) with 24/7 counselling and a Mental Health First Aider Network.
- Flexible working options are available on a hybrid basis, with a minimum of two days per week in the office.
- Career and Development includes an award-winning Management & Leadership Academy, funding for professional and personal development, and access to a digital learning platform.
Hit apply to find out more.
Senior Data Engineer - Azure in Milton Keynes employer: KDR Talent Solutions
Contact Detail:
KDR Talent Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - Azure in Milton Keynes
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in a data role. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Show Off Your Skills
Don’t just talk about your experience; showcase it! Create a portfolio of projects that highlight your expertise in Azure services and ETL processes. This will give potential employers a tangible sense of what you can bring to the table.
✨Ace the Interview
Prepare for those interviews by brushing up on common data engineering questions and scenarios. Be ready to discuss your past projects and how you’ve tackled challenges, especially around monitoring and failure recovery in data pipelines.
✨Apply Through Our Website
When you find a role that excites you, apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Data Engineer - Azure in Milton Keynes
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with Azure services and ETL processes, as these are key for us. Use specific examples that showcase your skills in data pipelines and monitoring.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share why you're passionate about data engineering and how you can contribute to our mission of improving financial well-being. Don’t forget to mention your collaboration skills and any leadership experience.
Showcase Relevant Projects: If you've worked on projects involving Azure Data Factory or Apache Spark, make sure to include them in your application. We love seeing real-world applications of your skills, so don’t hold back on the details!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing candidates who take the initiative!
How to prepare for a job interview at KDR Talent Solutions
✨Know Your Azure Inside Out
Make sure you brush up on your Azure services knowledge, especially around Azure Data Factory and Synapse Analytics. Be ready to discuss how you've used these tools in past projects, as well as any challenges you faced and how you overcame them.
✨Showcase Your ETL Expertise
Prepare to dive deep into your experience with ETL processes. Have specific examples ready that highlight your ability to design and implement data pipelines. Discuss the tools you've used and the impact your work had on data integrity and efficiency.
✨Demonstrate Problem-Solving Skills
Expect questions about monitoring and failure recovery in data pipelines. Think of scenarios where you detected issues and how you resolved them. This will show your analytical skills and your ability to maintain data quality under pressure.
✨Emphasise Collaboration and Leadership
Since this role involves working with data scientists and mentoring junior engineers, be prepared to talk about your teamwork experiences. Share examples of how you've led projects or supported colleagues, showcasing your communication and leadership skills.
