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SmartestEnergy

Data Engineer

The Columbus Building, London
£55k/yr
Posted about 14 hours ago
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Job Title

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 the 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.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

Start with a chat, not a search bar

Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

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 prioritize work-life balance, recognizing that your well-being matters. Find out more here.
  • 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.

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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 localize the future of energy? Apply now.

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. At the bottom of each of our adverts you can find one of our recruitment teams' contact details. Please reach out so we can discuss with you further.

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Skills

Microsoft Fabric
Azure Data Factory
Synapse Pipelines
ETL Development
Spark
Data Ingestion
Data Quality
Data Validation
Power BI
Azure DevOps
Git
CI/CD
Medallion Architecture
Data Pipelines
Metadata-driven Notebooks

Location

Greater London, England, United Kingdom

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