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- Tasks: Join a skilled team to design and implement data pipelines using Azure technologies.
- Company: Be part of a forward-thinking organisation focused on becoming data-centric.
- Benefits: Enjoy a collaborative environment with opportunities for professional growth and development.
- Why this job: Make a real impact by delivering best-in-class solutions for a global user base.
- Qualifications: Experience in data warehouse solutions, SQL, Python, and Azure technologies is essential.
- Other info: This role is inside IR35, ideal for those looking to work in a dynamic tech environment.
The predicted salary is between 48000 - 72000 £ per year.
About the role: The Senior Data Engineer will work with a modern Azure tech stack, and proven experience in ingesting and transforming data from various internal and external systems is essential for the role. Joining a small and highly skilled team, the individual will need to be passionate about delivering best-in-class solutions for a global user base. Help design and implement new data pipelines that can adapt to business and/or technology changes. This role will be vital to the success of the programme and in establishing the organisation as data-centric.
Key Responsibilities:
- The organisation seeks a highly capable, enthusiastic, and experienced individual to join the team.
- The primary focus will be on designing and implementing development activities to build a best-in-class Data Warehouse using cloud-native Azure technologies.
- The Data Engineer will handle design and development tasks across projects, ensuring the software produced is standardised, maintainable, and efficient.
- Providing technical expertise in designing and implementing solutions, including identifying root causes of complex data issues and developing practical, efficient, and permanent solutions.
- Conducting design, code, and test peer reviews throughout the project, offering technical guidance, and identifying potential issues.
- Advocating for efficient coding practices with extensive experience in delivering working solutions.
- Promoting and implementing agile and lean principles to ensure efficiency within the development process.
- Collaborating with Data Quality Analysts to implement appropriate testing, policies, and standards.
- Demonstrating proactive, independent behaviour while driving quality within the organisation.
Technical Skills:
- Experience in designing and developing data warehouse solutions.
- Building and configuring multistage Azure deployment pipelines.
- Advanced SQL, Python, PySpark.
- Azure Data Lake, Data Factory, Databricks, and Functions.
- Azure Data Lake Storage Gen2.
- Experience designing and building data ingestion and transformation pipelines, data lakes, data warehouses, or data marts.
Desired Experience:
- Power BI.
- Business Objects Reporting.
Wealth Manager - Data Bricks Engineer - London - InsideIR35 employer: Oliver James
Contact Detail:
Oliver James Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Wealth Manager - Data Bricks Engineer - London - InsideIR35
✨Tip Number 1
Familiarise yourself with the Azure tech stack, especially Azure Data Lake, Data Factory, and Databricks. Having hands-on experience or projects showcasing your skills in these areas can significantly boost your chances of standing out.
✨Tip Number 2
Network with professionals in the data engineering field, particularly those who work with Azure technologies. Attend meetups or webinars to connect with potential colleagues and learn about industry trends that could give you an edge.
✨Tip Number 3
Showcase your problem-solving skills by preparing examples of how you've tackled complex data issues in the past. Be ready to discuss these scenarios during interviews to demonstrate your technical expertise and proactive approach.
✨Tip Number 4
Stay updated on agile and lean principles, as these are crucial for the role. Consider obtaining certifications or completing online courses that focus on these methodologies to highlight your commitment to efficient development practices.
We think you need these skills to ace Wealth Manager - Data Bricks Engineer - London - InsideIR35
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, particularly with Azure technologies. Emphasise your skills in SQL, Python, and any experience with data warehouses or pipelines.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data engineering and how your background aligns with the role's responsibilities. Mention specific projects where you've successfully implemented data solutions.
Showcase Technical Skills: Clearly outline your technical skills related to the job description. Include examples of how you've used Azure Data Lake, Data Factory, and Databricks in previous roles to demonstrate your expertise.
Highlight Collaboration Experience: Since the role involves working closely with teams, mention any past experiences where you collaborated with Data Quality Analysts or participated in peer reviews. This shows your ability to work effectively in a team environment.
How to prepare for a job interview at Oliver James
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Azure technologies, especially Data Lake, Data Factory, and Databricks. Highlight specific projects where you designed and implemented data pipelines, as this will demonstrate your hands-on expertise.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your ability to identify and resolve complex data issues. Prepare examples of past challenges you've faced and the practical solutions you developed, showcasing your analytical thinking.
✨Emphasise Collaboration and Agile Practices
Since the role involves working within a small team, be ready to discuss your experience with agile methodologies. Share examples of how you've collaborated with others, particularly in conducting peer reviews and implementing coding standards.
✨Prepare for Behavioural Questions
The interview may include behavioural questions to gauge your proactive and independent work style. Think of instances where you took initiative or drove quality improvements in your previous roles, as these will illustrate your fit for the organisation's culture.
