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- Tasks: Lead the development of a cutting-edge enterprise data platform and manage large-scale data transformations.
- Company: Join SPG Resourcing, a forward-thinking company committed to diversity and innovation.
- Benefits: Enjoy remote work flexibility and a collaborative, inclusive environment.
- Why this job: Be part of a high-impact team driving innovative data solutions with real-world impact.
- Qualifications: Strong SQL, Python skills, and experience with Databricks and Azure are essential.
- Other info: We value diversity and offer reasonable accommodations throughout the hiring process.
The predicted salary is between 43200 - 72000 £ per year.
Location: Remote
Type: Contract (6 Months)
Start Date: ASAP
About the Role
We are looking for an experienced Data Engineer to join a high-impact team working on a strategic enterprise data transformation. This role offers the opportunity to play a key part in the final delivery of a production-grade enterprise data platform, followed by deep involvement in a complex, innovative initiative. A future-facing, Fabric-like solution focused on scalability and advanced data processing.
Key Responsibilities
- Lead and contribute to various phases of the data platform development cycle from finalising the current enterprise solution to initiating the next-gen data product.
- Migrate and transform large volumes of SQL-based data to cloud-native data platforms.
- Design and maintain scalable data pipelines using Databricks, Spark notebooks, and Azure-based tools.
- Collaborate closely with engineering leads and cross-functional teams to ensure smooth delivery across sprints.
- Contribute to architecture discussions and recommend best practices in data engineering, especially around data warehouse design, performance optimisation, and data modelling.
- Support the transition to an enterprise fabric solution involving heavy innovation and complex data workflows.
Required Skills
- Strong background in SQL, Python and SQL-based data migration.
- Proven experience with Databricks, Apache Spark, and cloud data platforms (Azure preferred).
- Solid understanding of data warehouse architectures, ETL pipelines, and modern data lakehouse concepts.
- Experience working with enterprise-scale data platforms and handling large-scale transformations.
Desirable Skills
- Prior exposure to Microsoft Fabric or similar modern data stack tools.
- Familiarity with complex data migration strategies and performance tuning.
- Experience in cross-functional delivery environments or agile data squads.
If this sounds like something you are interested in, please get in contact: thomas.deakin@spgresourcing.com
SPG Resourcing is an equal opportunities employer and is committed to fostering an inclusive workplace which values and benefits from the diversity of the workforce we hire. We offer reasonable accommodation at every stage of the application and interview process.
Senior Data Engineer (England) employer: SPG Resourcing
Contact Detail:
SPG Resourcing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer (England)
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, such as Databricks and Apache Spark. Having hands-on experience or projects showcasing your skills with these technologies can set you apart during discussions.
✨Tip Number 2
Network with professionals in the data engineering field, especially those who have experience with cloud platforms like Azure. Engaging in relevant online communities or attending meetups can provide insights and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss your previous experiences with large-scale data transformations and how you've tackled challenges in data migration. Be ready to share specific examples that highlight your problem-solving skills and technical expertise.
✨Tip Number 4
Stay updated on the latest trends in data engineering, particularly around data lakehouse concepts and performance optimisation. Demonstrating your knowledge of current best practices can impress interviewers and show your commitment to the field.
We think you need these skills to ace Senior Data Engineer (England)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL, Python, and cloud data platforms like Azure. Emphasise any previous roles where you led data migration or worked with Databricks and Apache Spark.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention specific projects or experiences that align with the responsibilities listed in the job description, particularly around data platform development and collaboration.
Showcase Relevant Projects: If you have worked on relevant projects, include them in your application. Describe your role, the technologies used, and the impact of your work, especially in relation to data transformation and pipeline design.
Highlight Soft Skills: Don’t forget to mention your ability to collaborate with cross-functional teams and your experience in agile environments. These soft skills are crucial for the role and can set you apart from other candidates.
How to prepare for a job interview at SPG Resourcing
✨Showcase Your Technical Skills
Be prepared to discuss your experience with SQL, Python, and data migration in detail. Highlight specific projects where you've successfully migrated large volumes of data to cloud-native platforms, especially using Databricks and Apache Spark.
✨Understand the Role's Requirements
Familiarise yourself with the key responsibilities outlined in the job description. Be ready to explain how your past experiences align with leading data platform development cycles and contributing to architecture discussions.
✨Demonstrate Collaboration Skills
Since the role involves working closely with cross-functional teams, prepare examples of how you've effectively collaborated in previous roles. Discuss any agile methodologies you've used and how they contributed to successful project delivery.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving abilities, particularly around data warehouse design and performance optimisation. Think of scenarios where you faced challenges and how you overcame them, especially in complex data workflows.
