At a Glance
- Tasks: Support the development of enterprise data solutions and build scalable data pipelines.
- Company: Join a dynamic, globally-minded team with a commitment to innovation.
- Benefits: Flexible working, global impact, and a focus on diversity and inclusion.
- Other info: Enjoy hybrid working with opportunities for career growth and mentorship.
- Why this job: Gain hands-on experience with Azure Data Platform and work on real-world solutions.
- Qualifications: Basic knowledge of data engineering and a passion for learning.
The predicted salary is between 63000 - 77000 £ per year.
The purpose of this role is to support the development and maintenance of enterprise data solutions including the Data Lakehouse, Data Warehouse, and Medallion Architecture. This role will work alongside senior engineers and architects to build, test, and deploy scalable data pipelines, with a focus on tasks such as ingestion, data validation, and structured transformations. The role is a hands-on opportunity for someone early in their data engineering career to gain deep experience with Microsoft’s Azure Data Platform and Microsoft Fabric, working on real-world solutions under guidance and mentorship.
How will I spend my time in this role?
- Data Integration Support: Assist with building and maintaining data ingestion pipelines from various sources using tools like Microsoft Fabric, Azure Data Factory and Synapse pipelines.
- ETL Development: Develop and maintain reusable ETL processes, supporting all layers of the Medallion Architecture, with a focus on reliability, reusability, and simplicity.
- Notebook Automation Support: Help implement and schedule metadata-driven notebooks in Fabric working with Spark under the supervision of senior engineers.
- Data Quality and Testing: Assist in implementing and monitoring data quality checks, validation rules, and basic lineage tracking.
- Documentation and Data Catalogue Support: Document data flows, transformations, and support updates to data cataloguing tools or metadata repositories.
- BI & Reporting Integration: Assist with connecting data models to Power BI, and help develop certified datasets and semantic layers for self-service users.
- Environment & DevOps Support: Learn and contribute to CI/CD processes using Azure DevOps and Git. Support code reviews and testing cycles.
- Learning and Development: Be an active participant in code reviews, design sessions, and platform learning. Take ownership of tasks and work through feedback constructively.
- Testing and Data Quality Assurance: Develop and maintain unit tests to validate pipeline logic and data transformations. Collaborate with engineering peers to continuously refine test coverage and uphold data integrity standards.
What skills/experience do I need to be successful?
- Successful delivery of sprints to the satisfaction of stakeholders.
- Data Pipeline Reliability - Pipelines run with minimal failures and auto-recovery.
- Data Latency - Freshness meets defined SLAs for Bronze, Silver, Gold layers.
- Valuable insight into the business is delivered through the implementation of new solutions.
- Innovation - Regular adoption of new Fabric AI and automation features.
- Implement Robust solutions with minimal time spent fixing bugs.
What sets us apart?
- Global Impact: With offices in the UK, US, and Australia, and plans for further expansion, you'll be part of a dynamic, globally-minded team, with opportunities to explore new markets and make a difference on a global scale.
- Flexible Working: Embrace the freedom to work from anywhere in the world for up to 30 days a year. We prioritise work-life balance, recognising that your well-being matters.
- Commitment to Diversity and Inclusion: We celebrate our diverse culture and value individuals irrespective of background, disability, religion, gender identity, sexuality, or ethnicity. Join a team where diversity is not just welcomed but celebrated as a key driver of growth and innovation.
What does hybrid working mean to us? Hybrid working typically means 2 days in the office location listed on this advert and 3 days working at home each week. Some occasional travel to our other offices may be required.
What happens next? Once we receive your application, it will be reviewed by a human – no bots here! The average process typically takes around 2-3 weeks, with 2 stages of video interviews using Teams. However, this can vary depending on the role. We may invite you for a face-to-face meeting or require only 1 video interview. If you have any questions or need support, our Recruitment Team is here to assist you.
Ready to join us on our journey to digitise, decarbonise, and localise the future of energy? We're committed to making the application process easy and comfortable. Let us know how we can help you with any reasonable adjustments that can be tailored to your needs.
Data Engineer employer: SmartestEnergy Limited
As a Data Engineer at our company, you'll be part of a globally-minded team dedicated to innovation and excellence in data solutions. We offer flexible working arrangements, allowing you to balance your professional and personal life while contributing to impactful projects that drive the future of energy. With a strong commitment to diversity and inclusion, you'll thrive in an environment that values your unique perspective and fosters your growth through mentorship and hands-on experience with cutting-edge technologies.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like SmartestEnergy Limited!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Engineer at SmartestEnergy Limited.
✨Leverage Professional Networks
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 SmartestEnergy Limited.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at SmartestEnergy Limited, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Engineer
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 SmartestEnergy Limited, 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 SmartestEnergy Limited. 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 SmartestEnergy Limited
✨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 SmartestEnergy Limited!
✨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.
