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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 tools 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 Data Engineer - Language Data (w/m/d) employer: Cloud Direct
Contact Detail:
Cloud Direct Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - Language Data (w/m/d)
✨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 the interview process.
✨Tip Number 2
Prepare to discuss your experience with ETL/ELT pipelines, particularly using Azure Data Factory. Be ready to share specific examples of how you've developed and optimised these pipelines in past roles.
✨Tip Number 3
Brush up on your knowledge of data modelling and warehousing best practices. Being able to articulate your understanding of these concepts and how they apply to real-world scenarios will demonstrate your expertise.
✨Tip Number 4
Showcase your programming skills, particularly in Python and SQL. Prepare to discuss any relevant projects where you've used these languages to solve data engineering challenges, as this will highlight your technical capabilities.
We think you need these skills to ace Senior Data Engineer - Language Data (w/m/d)
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 to demonstrate your expertise in building scalable data solutions.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data engineering and how your skills align with the job requirements. Mention your experience with Azure Synapse Analytics and Databricks, and explain how you can contribute to the company's goals.
Showcase Relevant Projects: If you have worked on significant data projects, include them in your application. Describe your role, the technologies used, and the impact of your work. This will help demonstrate your capability to lead data projects effectively.
Highlight Continuous Learning: Mention any certifications or ongoing education related to data engineering, especially those focused on Azure. This shows your commitment to staying updated with industry best practices and technologies.
How to prepare for a job interview at Cloud Direct
✨Showcase Your Azure Expertise
Make sure to highlight your extensive experience with Azure Synapse Analytics, Databricks, and Microsoft Fabric. Prepare specific examples of projects where you successfully implemented these technologies, as this will demonstrate your hands-on knowledge and ability to deliver scalable data solutions.
✨Discuss Data Integration Strategies
Be ready to talk about how you've integrated structured and unstructured data in past roles. Discuss the data models you've developed for analytics and reporting, and emphasise your understanding of security, compliance, and data quality to show that you can handle complex data environments.
✨Emphasise Performance Optimisation Skills
Prepare to discuss your experience in enhancing query performance and storage efficiency. Share examples of how you've implemented monitoring and alerting mechanisms to maintain high availability, as this is crucial for the role and shows your proactive approach to data management.
✨Demonstrate Leadership in Data Projects
Since the role involves leading data projects, be prepared to share your experiences in managing timelines and budgets. Highlight any instances where you provided expert guidance on data engineering best practices, showcasing your leadership skills and ability to deliver quality results.
