At a Glance
- Tasks: Design and execute data migration strategies using Azure technologies.
- Company: Join a leading retail client in a dynamic, hybrid work environment.
- Benefits: Flexible work-from-home options and competitive contract rates.
- Other info: Opportunity for professional growth in a collaborative team.
- Why this job: Make an impact on large-scale projects while working with cutting-edge Azure tools.
- Qualifications: 5+ years in cloud data engineering and Microsoft DP-203 certification required.
The predicted salary is between 50000 - 65000 £ per year.
As a preferred supplier to one of our biggest clients, I am seeking a Senior Azure Data Engineer for our retail client in Coventry area. This is a 2 - 3 year project with a hybrid model (2 days per week onsite).
The project and responsibilities include:
- Designing, developing, and executing enterprise-scale data migration strategies.
- Building high-performance pipelines and data migration engines using Azure Synapse Analytics, Azure Data Factory (ADF), PySpark, Python, and robust SQL scripting.
- Constructing optimized, transactional data packages and schema mappings.
- Orchestrating ELT/ETL: Building fault-tolerant automated ingestion pipelines using Azure Data Factory.
- Implementing CDC: Configuring Change Data Capture (CDC) logic in Azure Synapse Analytics for incremental delta loads.
- Developing data transformations, file partitioning, and data cleansing using Spark DataFrames.
- Building native object-oriented utility applications in Python for API payload validation.
- Optimizing data schemas: Authoring advanced SQL queries, stored procedures, and analytical views to model Dedicated SQL Pools.
Minimum Experience Needed: 5+ years of active cloud data engineering experience.
Official Microsoft DP-203: Azure Data Engineer Associate professional certification is required.
Azure Data Engineer - Work From Home in Coventry employer: Gazelle Global
Join a forward-thinking company that values innovation and collaboration, offering a flexible work-from-home arrangement for the Senior Azure Data Engineer role. With a strong focus on employee development, you will have access to continuous learning opportunities and the chance to work on impactful projects within the retail sector. Our supportive work culture fosters creativity and teamwork, making it an ideal environment for professionals looking to advance their careers while enjoying a healthy work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land Azure Data Engineer - Work From Home in Coventry
✨Showcase Your Skills with a Public Portfolio
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We think you need these skills to ace Azure Data Engineer - Work From Home in Coventry
Some tips for your application 🫡
Showcase Your Projects:When applying for a freelance data science role like Azure Data Engineer - Work From Home at Gazelle Global, it’s crucial to highlight your projects. Include a portfolio that features at least two or three projects involving data analysis, machine learning, or visualisation. Make sure to describe the tools and methodologies you used, so we can see your skills in action!
Quantify Your Achievements:Freelance gigs, especially in data science, often ask for proven results. In your CV, include any relevant metrics or outcomes from your previous work. Did your analysis help reduce costs by a certain percentage? Or did your predictive model improve performance? Numbers speak volumes!
Introduce Your Style:Since freelancing is all about your individual style and approach, use your cover letter to share how you tackle data problems. This is your chance to let us know how you think, your creative problem-solving methods, and how you would approach a project at Gazelle Global.
Be Real About Your Rates:When you send in your application, don’t forget to mention your freelance rates and availability. We appreciate clarity up front, and it helps us gauge if you fit within our budget and timeline. Being transparent in this aspect shows professionalism and readiness!
How to prepare for a job interview at Gazelle Global
✨Show Off Your Data Wizardry
As a freelancer in data science, you'll want to present a portfolio that showcases your best projects. We should pull together examples where you tackled real problems with data analytics, machine learning models, or visualisations. It's all about demonstrating your skills in action!
✨Be Ready to Dive Deep into Technical Questions
Expect to encounter some technical grilling during the interview. Prepare to discuss statistical methods, algorithms, or maybe even tackle a live coding challenge. We should brush up on tools like Python, R, or SQL—those are key players in the data science field. Don't just know them; be ready to explain your thought process!
✨Help Them Understand Your Work Style
Freelance gigs often mean you'll be working independently, so we need to convey our self-motivation and time management skills. Be prepared to talk about how you’ve handled multiple projects or met tight deadlines before. Sharing your approach to client communication can also give them confidence in your ability to deliver remotely.
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When freelancing, it’s crucial to clearly articulate what makes you unique. We should highlight not just technical skills but also the business impact of our projects. Think of a couple of stories where your data insights drove decision-making—this can be a game changer in showing why they should choose you for their freelance needs!
