At a Glance
- Tasks: Lead data migration projects and design robust data infrastructure for a fast-growing organisation.
- Company: Join a dynamic tech company driving major digital transformation.
- Benefits: Earn up to £70,000, enjoy remote work, and access professional development support.
- Other info: Collaborate across teams and tackle complex data challenges.
- Why this job: Shape the future of data in a scalable, innovative environment.
- Qualifications: Experience with Python, SQL, and cloud platforms like Azure is essential.
The predicted salary is between 70000 - 70000 £ per year.
We're looking for an experienced Senior Data Engineer to join a highly acquisitive, fast‐growing organisation that's driving a major digital transformation. The Senior Data Engineer will be the first hire within the Data Engineering function, and 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.
Responsibilities
- 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.
Qualifications
- 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.
Benefits & Compensation
- Salary: up to £70,000 per annum
- 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
Location: London, England, United Kingdom
Please apply today for immediate CV review. The employer plans to appoint before the end of the year for a New Year or early 2026 start.
Senior Data Engineer in England employer: Kinetech
Kinetech is an exceptional employer, offering a dynamic work environment where innovation and collaboration thrive. As a Dynamics 365 Finance Technical Consultant, you'll have the opportunity to lead transformative projects while working closely with finance stakeholders in the vibrant setting of Central/East London. With a strong focus on employee growth, competitive benefits, and a culture that values expertise and initiative, Kinetech is committed to supporting your professional journey in a meaningful way.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer in England
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Kinetech.
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We think you need these skills to ace Senior Data Engineer in England
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Kinetech, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Kinetech. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Kinetech
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Kinetech!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
