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- 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 hybrid working.
- Other info: Access to professional development and a collaborative team culture.
- Why this job: Make a real impact by leading innovative data solutions in a supportive environment.
- Qualifications: Experience with Azure services and strong ETL process skills required.
The predicted salary is between 60000 - 60000 £ 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 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
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even local tech events. The more you engage with others, the better your chances of landing that Senior Data Engineer role.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your ETL processes or data pipelines. Share your projects on GitHub or LinkedIn to catch the eye of potential employers.
✨Ace the Interview
Prepare for those tricky interview questions by practising your responses. Focus on your Azure expertise and how you've tackled challenges in past roles. Remember, confidence is key!
✨Apply Through Our Website
We encourage you to apply directly through our website. It’s the best way to ensure your application gets noticed. Plus, you’ll find all the latest opportunities right at your fingertips!
We think you need these skills to ace Senior Data Engineer - Azure
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 your passion for 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 you have.
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 knowledge of Azure services, especially those mentioned in the job description like Azure Data Factory and Synapse Analytics. Be ready to discuss how you've used these tools in past projects, as this will show your practical experience and understanding.
✨Showcase Your ETL Expertise
Prepare to talk about your experience with designing and implementing ETL processes. Have specific examples ready that highlight your problem-solving skills and how you've tackled challenges in data pipelines. This will demonstrate your hands-on experience and technical prowess.
✨Emphasise Collaboration Skills
Since the role involves working closely with data scientists and analysts, be prepared to discuss how you've collaborated in previous roles. Share examples of how you’ve led teams or mentored junior engineers, as this will showcase your leadership abilities and teamwork.
✨Understand Data Governance
Familiarise yourself with data governance policies and quality standards. Be ready to explain how you've maintained data integrity and security in your previous roles. This will show that you take data quality seriously and understand its importance in a data engineering context.