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For Companies At a Glance
- Tasks: Design and build robust data infrastructure for a fast-growing organisation.
- Company: Join a dynamic, tech-focused company driving digital transformation.
- Benefits: Remote work, training support, and opportunities for professional growth.
- Why this job: Shape the future of data in a scalable, innovative environment.
- Qualifications: Experience with Python, SQL, and cloud platforms like Azure.
- Other info: Collaborate across teams and tackle complex data challenges.
The predicted salary is between 36000 - 60000 £ per year.
We’re looking for an experienced Data Engineer to join a highly acquisitive, fast-growing organisation that’s driving a major digital transformation. The Data Engineer will be responsible for designing, building, and maintaining robust data infrastructure to support the organisation’s expanding data and analytics needs. This includes leading the migration of legacy systems to modern cloud-based platforms, managing APIs for seamless data exchange, and ensuring data quality, security, and reliability across all systems. You’ll play a key role in developing and optimising ETL pipelines, automating data workflows, and supporting integration between core business systems such as Microsoft Dynamics. Strong hands-on experience with Azure, SQL, and Python-based data engineering is essential. This is an excellent opportunity for someone who thrives in a scalable, acquisition-driven environment, enjoys solving complex data challenges, and wants to help shape the data strategy of a dynamic, technology-focused business.
What You’ll Be Doing
- Lead and deliver data migration projects from legacy systems to modern, cloud-based environments. CRM experience would be highly advantageous here.
- Design, develop, and optimise ETL pipelines and automated data workflows.
- Collaborate across IT and business functions to define data requirements and deliver efficient solutions.
- Manage and maintain data integrations and APIs for seamless information flow between systems.
- Ensure data governance, security, and compliance standards are upheld.
- Support analytics and reporting through high-quality, structured data models.
- Produce documentation and technical reports covering data models, pipelines, and architecture.
What We’re Looking For
- Proven experience delivering data migration or integration projects, ideally with ERP/CRM systems such as Microsoft Dynamics.
- Strong technical skills in Python, including libraries such as Pandas and NumPy.
- Hands-on experience with ETL design, data warehousing, and relational databases (SQL).
- Advanced proficiency in SQL and data modelling techniques.
- Knowledge of cloud data platforms (Azure preferred, AWS or GCP also considered).
- Experience working with APIs and tools like Postman for integration testing and troubleshooting.
- Excellent problem-solving, analytical, and communication skills.
What’s on Offer
- Remote working with team meet-ups centrally located on a monthly basis.
- Support for training, certification, and professional development.
- The opportunity to work within a fast-moving, acquisition-driven organisation shaping its data future.
Please apply today for immediate CV review. The employer plans to appoint before the end of the year for a New Year start. Kinetech is acting as a recruiter in relation to this vacancy.
Data Engineer employer: Kinetech
Contact Detail:
Kinetech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meet-ups, webinars, or even local tech events. You never know who might have a lead on that perfect Data Engineer role.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your projects, especially those involving Azure, SQL, and Python. This will give potential employers a taste of what you can do.
✨Ace the Interview
Prepare for technical interviews by brushing up on your ETL processes and data migration strategies. Be ready to discuss how you've tackled complex data challenges in the past—this is your time to shine!
✨Apply Through Our Website
Make sure to apply through our website for the best chance at landing that job! We’re keen to see your application and help you kickstart your career in this exciting field.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data migration, ETL pipelines, and cloud platforms like Azure. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the Data Engineer position and how your background makes you a perfect fit. We love seeing passion and personality in applications.
Showcase Your Technical Skills: Be specific about your technical expertise in Python, SQL, and any relevant tools you've used. We’re looking for hands-on experience, so mention any projects or challenges you’ve tackled that demonstrate your capabilities.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Kinetech
✨Know Your Tech Inside Out
Make sure you brush up on your technical skills, especially in Python, SQL, and Azure. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Problem-Solving Skills
Prepare examples of complex data challenges you've tackled in the past. Highlight your analytical thinking and how you approached these problems, particularly in relation to data migration or integration projects.
✨Understand the Business Context
Familiarise yourself with the company’s goals and how the Data Engineer role fits into their digital transformation. This will help you articulate how your skills can contribute to their success and align with their data strategy.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the tools they use, and their approach to data governance. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
