At a Glance
- Tasks: Design and deliver scalable data migration solutions using Azure technologies.
- Company: Join a forward-thinking tech company in Coventry with a hybrid work model.
- Benefits: Competitive pay, flexible working, and opportunities for professional growth.
- Other info: Collaborative environment with mentorship opportunities for career advancement.
- Why this job: Make an impact on large-scale data projects while enhancing your skills.
- Qualifications: 5+ years in cloud data engineering with strong Azure and Python skills.
The predicted salary is between 60000 - 80000 £ per year.
Location: Coventry, UK (Hybrid – 3 Days Per Week Onsite)
Contract Duration: 3 Months
Overview
We are seeking an experienced Senior Azure Data Engineer to support a large-scale data migration programme, designing and delivering robust, scalable and high-performing data solutions within the Microsoft Azure ecosystem. This role will focus on building enterprise-grade data pipelines, migration frameworks and transformation processes using Azure Synapse Analytics, Azure Data Factory (ADF), PySpark, Python and SQL. You will work closely with technical and business stakeholders to ensure successful delivery of data migration and integration initiatives.
Key Responsibilities
- Design and deliver enterprise-scale data migration solutions and payload architectures.
- Build and maintain scalable ETL/ELT pipelines using Azure Data Factory (ADF).
- Develop Change Data Capture (CDC) solutions to support incremental and delta data loads.
- Create data transformation and cleansing processes using PySpark and Spark DataFrames.
- Develop Python-based utilities and automation scripts to support migration and validation activities.
- Design and optimise data models, SQL queries, stored procedures and analytical views within Azure Synapse Analytics.
- Manage data ingestion, transformation and storage across Azure Data Lake Storage (ADLS) and Azure SQL environments.
- Support processing of structured and semi-structured data formats, including Delta Lake and JSON.
- Collaborate with stakeholders to define requirements and deliver high-quality data solutions.
- Provide technical leadership, mentoring and support to junior team members.
Required Skills and Experience
- Strong hands-on experience with Azure Synapse Analytics.
- Extensive experience building solutions with Azure Data Factory (ADF).
- Advanced Python and PySpark development skills.
- Strong SQL and T-SQL scripting experience.
- Experience designing and implementing large-scale ETL/ELT pipelines.
- Experience with Change Data Capture (CDC) and data migration frameworks.
- Knowledge of Azure Data Lake Storage (ADLS) and Azure SQL Database.
- Experience working with Delta Lake and JSON data formats.
- Minimum 5 years’ experience within cloud-based data engineering environments.
- Strong stakeholder management, communication and problem-solving skills.
- Experience leading data migration or transformation projects.
- Previous mentoring or team leadership experience.
- Exposure to enterprise-scale cloud data platforms and modern analytics.
Data Engineer in Coventry employer: Stott and May
Join a forward-thinking company in Coventry, UK, where as a Data Engineer, you will be part of a dynamic team dedicated to innovative data solutions. We offer a hybrid work model that promotes work-life balance, alongside opportunities for professional growth and mentorship in a collaborative environment. With a focus on cutting-edge technology and employee development, we ensure that our team members are equipped to thrive in their careers while contributing to impactful projects.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Coventry
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We think you need these skills to ace Data Engineer in Coventry
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Stott and May, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Stott and May, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Stott and May’s attention and show the tangible impact of your work.
How to prepare for a job interview at Stott and May
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Stott and May.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Stott and May.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Stott and May.
