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- Tasks: Design and implement data flows in Azure, focusing on ETL processes and data governance.
- Company: Join a mission-driven organisation improving financial well-being across the UK.
- Benefits: Enjoy hybrid working, up to 30 days annual leave, and a comprehensive health cash plan.
- Why this job: Be part of a growing team, lead projects, and make a real impact on data solutions.
- Qualifications: Experience in Azure services, ETL processes, and strong SQL skills are essential.
- Other info: Flexible working options and access to professional development opportunities available.
The predicted salary is between 48000 - 72000 £ per year.
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This range is provided by KDR Talent Solutions. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
Direct message the job poster from KDR Talent Solutions
Senior Data Engineer – Azure | £60,000 basic per annum | Milton Keynes | Hybrid Working
About the job
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 analytic, 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.
- 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.
Job details
- Seniority level: Mid-Senior level
- Employment type: Full-time
- Job function: Information Technology
- Industries: Financial Services and Pension Funds
Milton Keynes, England, United Kingdom — 5 days ago
Milton Keynes, England, United Kingdom — 1 week ago
Milton Keynes, England, United Kingdom — 3 weeks ago
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Senior Data Engineer 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
✨Tip Number 1
Familiarise yourself with Azure services and tools mentioned in the job description, such as Azure Data Factory and Apache Spark. Having hands-on experience or projects showcasing these skills can significantly boost your chances.
✨Tip Number 2
Network with current employees or professionals in similar roles on platforms like LinkedIn. Engaging in conversations about their experiences can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss your previous projects involving ETL processes and data pipelines. Be ready to explain your problem-solving approach and how you ensure data quality and governance in your work.
✨Tip Number 4
Showcase your leadership skills by highlighting any mentoring or collaborative experiences you've had. This role requires working closely with data scientists and analysts, so demonstrating your ability to lead and collaborate is key.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure services and ETL processes. Use specific examples that demonstrate your skills in designing data pipelines and working with tools like Azure Data Factory and Apache Spark.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data engineering and how your background aligns with the company's mission to improve financial well-being. Mention your collaborative skills and any leadership experience you have, as these are key aspects of the role.
Showcase Relevant Projects: If you have worked on projects involving data governance, monitoring, or failure recovery, be sure to include these in your application. Highlight any specific challenges you faced and how you overcame them, particularly in an Azure environment.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial in data engineering roles.
How to prepare for a job interview at KDR Talent Solutions
✨Showcase Your Azure Expertise
Make sure to highlight your experience with Azure services during the interview. Be prepared to discuss specific projects where you designed and implemented ETL processes using Azure Data Factory or other relevant tools.
✨Demonstrate Problem-Solving Skills
Prepare examples of how you've handled monitoring and failure recovery in data pipelines. Discuss any challenges you faced and how you resolved them, showcasing your analytical thinking and problem-solving abilities.
✨Emphasise Collaboration and Leadership
Since this role involves working closely with data scientists and mentoring junior engineers, be ready to share experiences that demonstrate your collaborative spirit and leadership skills. Highlight any instances where you successfully led a team or project.
✨Understand Data Governance Principles
Familiarise yourself with data governance policies and quality standards. Be prepared to discuss how you ensure data integrity and security in your work, as this is crucial for the role.
