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- Tasks: Design and maintain scalable data solutions using Microsoft Azure technologies.
- Company: Join Cloud Direct, a leader in innovative data solutions and diversity.
- Benefits: Enjoy uncapped annual leave, pension contributions, and enhanced family leave.
- Why this job: Shape the future of data while empowering clients to achieve their goals.
- Qualifications: 5+ years in data engineering with expertise in Azure technologies and programming.
- Other info: We value diversity and welcome applicants from all backgrounds.
The predicted salary is between 43200 - 72000 £ per year.
Are you ready to join us and shape the future of data? As a Senior Data Engineer, you will play a critical role in designing, developing, and maintaining scalable data solutions using Microsoft Azure’s ecosystem—including Azure Synapse Analytics, Databricks, and Microsoft Fabric—to deliver innovative solutions across various projects.
You will empower our clients to harness their data, drive decision-making, and achieve their business goals.
- Architect and implement scalable, high-performance data solutions using Microsoft Azure technologies, adhering to best practices for robust delivery.
- Data Management & Integration: Integrate structured and unstructured data, develop efficient data models for analytics and reporting, and ensure security, compliance, and data quality. Provide expert guidance to clients on data engineering best practices.
- Performance Optimization: Enhance query performance and storage efficiency across large-scale datasets. Implement monitoring and alerting mechanisms to maintain high availability.
- Lead data projects, ensuring quality delivery within timelines and budgets.
5+ years of experience in data engineering or a related field, delivering solutions across industries.
- Extensive experience with Azure Synapse Analytics, Databricks, and Microsoft Fabric.
- Proficiency in developing ETL/ELT pipelines using Azure Data Factory or similar tools.
- Strong understanding of data modelling, warehousing, and architecture best practices.
- Expertise in programming languages such as Python and SQL.
- Knowledge of DevOps practices, CI/CD pipelines, and data governance with Microsoft Purview.
- Experience implementing unit tests and optimizing Azure resource utilization for cost-effective analytics.
- Skilled in building fault-tolerant data pipelines for seamless data processing and system resilience.
- Bachelor’s or master’s degree in computer science, Data Engineering, or a related field.
- Azure Data Engineer Associate certification is highly desirable.
Responsible Time off (uncapped annual leave), Pension Contribution, Employee Assistance Programme, Enhanced Maternity & Paternity Leave, Life Assurance, Critical Illness, and Income Protection.
At Cloud Direct, we believe that diversity, equity, and inclusion are essential to our success. We welcome applicants from all backgrounds and strive to build a team that reflects the diverse communities we serve.
Locations
Senior Engineer, Data Engineering employer: Cloud Direct
Contact Detail:
Cloud Direct Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Engineer, Data Engineering
✨Tip Number 1
Familiarise yourself with the Microsoft Azure ecosystem, especially Azure Synapse Analytics, Databricks, and Microsoft Fabric. Having hands-on experience or projects that showcase your skills in these areas will make you stand out during discussions.
✨Tip Number 2
Network with current employees or professionals in the data engineering field. Engaging with them on platforms like LinkedIn can provide insights into the company culture and expectations, which can be invaluable during interviews.
✨Tip Number 3
Prepare to discuss specific projects where you've implemented ETL/ELT pipelines using Azure Data Factory. Be ready to explain your approach to data modelling and how you ensured data quality and compliance in those projects.
✨Tip Number 4
Showcase your understanding of DevOps practices and CI/CD pipelines in your conversations. Highlight any experience you have with optimising Azure resource utilisation, as this is a key aspect of the role.
We think you need these skills to ace Senior Engineer, Data Engineering
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure technologies, data engineering, and relevant programming languages like Python and SQL. Use specific examples from your past work to demonstrate your skills in designing and implementing scalable data solutions.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and how your background aligns with the company's goals. Mention your experience with Azure Synapse Analytics and Databricks, and how you can contribute to their projects and client success.
Showcase Relevant Projects: If you have worked on significant data engineering projects, summarise them in your application. Highlight your role, the technologies used, and the impact of your work on performance optimisation and data management.
Highlight Soft Skills: Don't forget to mention your leadership abilities and communication skills. As a Senior Data Engineer, you'll need to guide clients and lead projects, so showcasing these soft skills can set you apart from other candidates.
How to prepare for a job interview at Cloud Direct
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Azure Synapse Analytics, Databricks, and Microsoft Fabric in detail. Highlight specific projects where you implemented these technologies and the impact they had on data solutions.
✨Demonstrate Problem-Solving Abilities
Expect to face scenario-based questions that assess your ability to optimise performance and troubleshoot issues. Prepare examples of how you've enhanced query performance or resolved data integration challenges in past roles.
✨Emphasise Collaboration and Leadership
As a Senior Engineer, you'll likely lead projects and guide clients. Share experiences where you successfully led a team or collaborated with stakeholders to deliver data solutions on time and within budget.
✨Understand the Company Culture
Research Cloud Direct's values around diversity, equity, and inclusion. Be ready to discuss how you can contribute to a diverse team and align with their mission to empower clients through data.
