Senior Data Engineer

Senior Data Engineer

Full-Time 55000 - 65000 £ / year (est.) Home office (partial)
Aurora Energy Research

At a Glance

  • Tasks: Join our Business Data team to build a cutting-edge data platform and solve real business problems.
  • Company: Dynamic tech company in Oxford with a focus on innovation and collaboration.
  • Benefits: Enjoy private medical insurance, flexible working, and local discounts.
  • Other info: Flexible hybrid work environment with excellent career growth opportunities.
  • Why this job: Make a meaningful impact on our data strategy while working with the latest technologies.
  • Qualifications: 2+ years of experience in data solutions, strong analytical skills, and proficiency in Microsoft Fabric.

The predicted salary is between 55000 - 65000 £ per year.

Based in Oxford, you will join the growing Business Data team within Internal Technology. Working alongside the Lead Data Engineer, you will play a key role in delivering the business data platform using the agreed technology stack, Microsoft Fabric. A key aspect of this role is collaborating with senior business stakeholders to define functional specifications for business intelligence reports that align with established technology standards. These specifications will be presented through the Technical Design Authority, while you take a hands-on role in building the required data infrastructure with the team to enable high-quality reporting and insights.

As a senior member of the practice, you will also help define scalable, secure, and robust processes and best practices. The successful applicant will be passionate about solving business problems through technology, combining strong technical data expertise with excellent communication skills and a solid understanding of business operations. You will work in a creative and intellectually stimulating environment, enjoying autonomy and the opportunity to make a meaningful impact on Aurora’s data strategy. Your work will help ensure the business intelligence capability effectively leverages enterprise data to support the needs of a fast-growing, data-driven organisation.

Key Responsibilities
  • Work within the Architecture and Engineering function to build a centrally managed, governed data layer that provides insight across enterprise systems, including Microsoft Dynamics 365 F&O, Salesforce, SharePoint, SAP SuccessFactors (HRMS), and future platforms introduced as the company grows.
  • Support the Lead Data Engineer in guiding key decisions on system integration and data flows, ensuring a scalable and well-managed ecosystem that enables efficient business operations and cross-system insights.
  • Collaborate with internal teams to understand operational challenges, particularly around reporting requirements, and identify where technology and data solutions can deliver value.
  • Help establish policies, standards, and best practices to ensure the business data layer remains scalable, secure, and robust.
  • Guide junior team members to support high-quality technical delivery and effective ways of working.
What we are looking for

Required attributes:

  • Minimum of 2 years’ experience delivering data solutions to organisations including: Extraction of data from traditional database systems and online systems via API; Transformation of data to support tactical and broad business insight requirements; Data governance.
  • Demonstrable experience with: Microsoft Fabric / Python / PySpark Notebooks / SQL / SaaS and API based data extraction.
  • Strong experience analysing and manipulating numerical and business data, with a high level of analytical capability.
  • Excellent time management, organisational skills, and attention to detail.
  • Strong communication and interpersonal skills, with the ability to build relationships with stakeholders at all levels.
  • Ability to work independently, manage competing priorities, and deliver to deadlines.
  • Flexible and proactive approach to work, with a positive, team-oriented mindset.
  • Delivery-focused, with a hands-on attitude and willingness to take ownership to get things done.
  • Strong problem-solving skills and the ability to translate business challenges into data and technology solutions.
  • Passion for technology and its application to solving real business problems.
  • Experience with reporting from any of our existing Tier 1 systems (Dynamics 365 Finance and Operations, Salesforce CRM, SAP SuccessFactors, Entra ID).
  • Experience with delivering Direct Lake data architectures with Microsoft Fabric.
  • Experience with utilising CI/CD patterns and DevOps tooling to orchestrate configuration across environments.
  • Experience working with Power BI (including Power Query and DAX).
  • Experience working with Logic Apps, Power Platform.
What we offer

Some of the benefits we include are:

  • Private Medical Insurance
  • Parental Support
  • Employee Assistance Programme (EAP)
  • Local Oxford Discounts
  • Cycle-to-work Scheme
  • Flu Jabs

At AER, we are committed to offering flexibility in the way we work. Most of our roles are hybrid with a mix of in-office/home working and potentially adjustable working hours. Let’s discuss what works for you and AER during the interview process.

The Company is committed to the principle that no employee or job applicant shall receive unfavourable treatment on grounds of age, disability, gender reassignment, race, religion or belief, sex, sexual orientation, marriage or civil partnership, pregnancy, and maternity.

To apply, please submit your Résumé / CV, a personal summary, your salary expectations and please inform us of your notice period. Unfortunately, we are unable to accept applications via email, telephone, or social media platforms. To be considered for this position, please submit your application using the link provided. Applications submitted through any other channel will not be reviewed.

Senior Data Engineer employer: Aurora Energy Research

At AER, we pride ourselves on being an excellent employer, offering a dynamic and intellectually stimulating environment in Oxford where creativity and autonomy thrive. Our commitment to employee growth is evident through our supportive culture, flexible working arrangements, and comprehensive benefits such as private medical insurance and parental support, ensuring that you can make a meaningful impact while enjoying a healthy work-life balance.
Aurora Energy Research

Contact Detail:

Aurora Energy Research Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Data Engineer

✨Tip Number 1

Network like a pro! Reach out to current employees at the company through LinkedIn or other platforms. A friendly chat can give you insider info and might even lead to a referral, which can boost your chances of landing that Senior Data Engineer role.

✨Tip Number 2

Prepare for the interview by brushing up on your technical skills. Make sure you can confidently discuss Microsoft Fabric, Python, and data governance. We want to see you shine when it comes to problem-solving and translating business challenges into tech solutions!

✨Tip Number 3

Show off your communication skills! During interviews, be ready to explain complex data concepts in simple terms. This will demonstrate your ability to collaborate with stakeholders and help them understand how your work can solve their business problems.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about the opportunity and keen to join our awesome team at AER.

We think you need these skills to ace Senior Data Engineer

Microsoft Fabric
Python
PySpark Notebooks
SQL
SaaS
API based data extraction
Data Governance
Data Analysis
Power BI
Power Query
DAX
Logic Apps
CI/CD patterns
DevOps tooling
Problem-Solving Skills

Some tips for your application 🫡

Tailor Your Résumé: Make sure your résumé highlights your experience with Microsoft Fabric, Python, and data governance. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!

Craft a Compelling Personal Summary: Your personal summary is your chance to shine! Use it to express your passion for solving business problems through technology and how you can contribute to our data strategy. Keep it concise but impactful!

Showcase Your Communication Skills: Since this role involves collaborating with stakeholders, highlight your communication skills in your application. Share examples of how you've successfully worked with teams or presented technical information to non-technical audiences.

Apply Through Our Website: Remember, we only accept applications through our website. So, make sure to submit your résumé, personal summary, and salary expectations using the provided link. We can't wait to see what you bring to the table!

How to prepare for a job interview at Aurora Energy Research

✨Know Your Tech Stack

Make sure you’re well-versed in Microsoft Fabric, Python, and SQL. Brush up on your experience with data extraction and transformation, as these will be key topics during the interview. Be ready to discuss specific projects where you've applied these technologies.

✨Understand Business Needs

Familiarise yourself with how data solutions can solve real business problems. Think about examples where you've collaborated with stakeholders to define functional specifications for reports. This will show your ability to bridge the gap between technical and business requirements.

✨Showcase Your Problem-Solving Skills

Prepare to discuss challenges you've faced in previous roles and how you tackled them. Highlight your analytical capabilities and how you've translated business challenges into effective data solutions. This will demonstrate your hands-on attitude and delivery focus.

✨Communicate Effectively

Since strong communication skills are essential, practice articulating your thoughts clearly. Be prepared to explain complex technical concepts in a way that non-technical stakeholders can understand. This will help you build rapport with the interviewers and showcase your interpersonal skills.

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