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- Tasks: Join our Data-Technology team to design and maintain innovative data solutions.
- Company: The Green Recruitment Company supports businesses on their journey to net zero.
- Benefits: Enjoy a competitive salary, attractive benefits, and career development opportunities.
- Why this job: Be part of a mission-driven company making a real impact in sustainability.
- Qualifications: Bachelor’s degree in Computing or Software Development; 3-5 years of cloud-based data engineering experience.
- Other info: Work with cutting-edge technologies like Azure ADF and Synapse Analytics.
The predicted salary is between 42000 - 45000 £ per year.
The Green Recruitment Company is working with an Environmental and Sustainability Business that supports and empowers their customers' journey to net zero. To join their Data-Technology team, we have an opportunity for a Data Engineer to help support the wider business (cross-functional) to meet their reporting and data requirements.
About the role:
The Data Engineer will be working with the latest innovative technologies, to design, build and maintain data solutions, constructing processes to surface data both internally for reporting purposes and externally through the customer portal. The Data Engineer will be responsible for developing scalable data pipelines to integrate diverse data sources whilst ensuring data quality under the framework of a new Data Platform for real-time application integration and reporting, and will work closely with business stakeholders to support data-driven decision making by delivering clean, well-structured datasets that can be utilised for reporting purposes in a performant, secure way.
Key responsibilities:
- Taking full ownership of assigned projects and BAU tasks.
- Maintaining current pipelines within Azure ADF and Synapse Analytics.
- Building a process of transforming raw data from various CRM systems into a harmonised and curated layer.
- Developing the usage of event-driven topics for various subscribers.
- Investigating and documenting Architectural Spikes to help foster best practice within the Data Team.
- Developing and creating data science tools to give a deeper understanding of the customer book.
- Recording and updating work on Project Management System (Azure DevOps).
- Owning and enhancing the BAU runbook for engineering operations.
- Developing the instrumentation and monitoring of IT automated tasks.
- Taking a lead in the engineering function of the data team.
Requirements:
Qualifications: Bachelor’s degree or above in Computing or Software Development or similar.
Experience required:
- 3-5 years' Cloud-based Data Engineering experience.
- Previous experience of formal methodologies with data engineering.
- Experience leading or working in an engineering team or function.
- Previous experience of using the Azure Stack.
- Experience working in a proactive analytics function.
- Experience of working in the Utilities sector.
- Experience leading technical projects.
Skills & Technologies required:
- Proficiency in cloud-based data engineering tools (ADF, Synapse Analytics, S3, Lambda).
- Proficiency in using PySpark notebooks for ELT.
- Fostering and cultivating a culture of best practices.
- Strong analytical and problem-solving skills.
- Ability to work independently and as part of a functional and cross-functional team.
- Excellent communication and documentation skills.
- Proven ability to design, evaluate and score engineering options.
- Formal data engineering qualification.
On offer: Salary £42,000 - £45,000 (depending on experience) with an attractive company benefit package & career development.
Data Engineer (,, United Kingdom) employer: Placed
Contact Detail:
Placed Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer (,, United Kingdom)
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, such as Azure ADF and Synapse Analytics. Having hands-on experience or projects showcasing your skills with these technologies can set you apart from other candidates.
✨Tip Number 2
Network with professionals in the environmental and sustainability sectors. Attend relevant meetups or webinars to connect with individuals who work in similar roles, as they may provide insights or even referrals that could help you land the job.
✨Tip Number 3
Showcase your problem-solving skills by preparing examples of past projects where you successfully tackled data engineering challenges. Be ready to discuss these during interviews to demonstrate your analytical capabilities.
✨Tip Number 4
Research the company’s mission and values, particularly their focus on net zero and sustainability. Tailoring your conversation to align with their goals can show your genuine interest in the role and the organisation.
We think you need these skills to ace Data Engineer (,, United Kingdom)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in cloud-based data engineering, particularly with Azure ADF and Synapse Analytics. Use specific examples to demonstrate your skills in developing scalable data pipelines and working with diverse data sources.
Craft a Compelling Cover Letter: In your cover letter, express your passion for environmental sustainability and how your background aligns with the company's mission. Mention your experience in leading technical projects and your proficiency in using tools like PySpark notebooks.
Showcase Your Problem-Solving Skills: Provide examples of how you've tackled complex data engineering challenges in previous roles. Highlight your analytical skills and ability to work independently as well as part of a team, which are crucial for this position.
Highlight Relevant Qualifications: Ensure you mention your formal qualifications in data engineering or related fields. If you have any certifications or additional training in cloud technologies, be sure to include those as well to strengthen your application.
How to prepare for a job interview at Placed
✨Showcase Your Technical Skills
Be prepared to discuss your experience with cloud-based data engineering tools, especially Azure ADF and Synapse Analytics. Bring examples of projects where you've successfully built data pipelines or transformed raw data, as this will demonstrate your hands-on expertise.
✨Understand the Company's Mission
Research The Green Recruitment Company and their focus on environmental sustainability. Be ready to explain how your role as a Data Engineer can contribute to their mission of helping customers achieve net zero, showing that you align with their values.
✨Prepare for Problem-Solving Questions
Expect questions that assess your analytical and problem-solving skills. Think of specific challenges you've faced in previous roles and how you overcame them, particularly in relation to data quality and integration.
✨Demonstrate Team Collaboration
Since the role involves working closely with business stakeholders, be ready to discuss your experience in cross-functional teams. Highlight instances where your communication skills helped bridge gaps between technical and non-technical team members.
