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- Tasks: Automate and optimise Power BI dashboards through data engineering and analysis.
- Company: Dynamic tech company focused on innovative data solutions.
- Benefits: Competitive pay, hybrid work model, and a chance to enhance your skills.
- Why this job: Make a real impact by improving data processes and reporting efficiency.
- Qualifications: Experience in data engineering, ETL processes, and Power BI.
- Other info: Join a diverse team that values respect and equality.
The predicted salary is between 50000 - 65000 £ per year.
We are looking for an experienced Data Engineer / Data Analyst to support the automation and optimisation of a Power BI dashboard for a short-term engagement. This role will focus on building and improving the backend data processes required to enable reliable, automated reporting and analytics.
Working closely with a Power BI Developer, you will assess the existing data landscape, design and implement ETL processes, and ensure the data models underpinning the dashboard are accurate, performant, and well governed.
Key Responsibilities- Assess and enhance the current data infrastructure to support automated data flows into Power BI.
- Develop and implement ETL processes to source, transform and load data efficiently.
- Design data pipelines and orchestration workflows to automate data retrieval and processing.
- Collaborate with the Power BI Developer to ensure data models align with dashboard requirements and performance expectations.
- Identify data gaps and ensure key metrics and KPIs required for reporting are captured and accurately represented.
- Document data sources, processes and models, establishing clear standards for data management and governance.
- Create visual outputs using real data to support dashboard development.
- Define the process and governance for data refresh cycles.
- Map existing data sources and design logical data models.
- Assess current tooling and recommend appropriate solutions for ETL and dashboarding.
- Define metadata, data lineage and governance standards to support sustainable reporting.
- Strong experience in Data Engineering / Data Analysis roles supporting BI or reporting platforms.
- Proven experience designing ETL pipelines and data workflows.
- Experience working with Power BI data models and reporting environments.
- Strong understanding of data modelling, data governance and metadata management.
- Ability to quickly assess existing data environments and deliver pragmatic solutions.
If you are interested, please apply with your latest CV for immediate consideration.
Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients. If you need any help or adjustments during the recruitment process for any reason, please let us know when you apply or talk to the recruiters directly so we can support you.
Data Analyst/Engineer - Power BI in London employer: Sanderson Government & Defence
Contact Detail:
Sanderson Government & Defence Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst/Engineer - Power BI in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data field, especially those who work with Power BI. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a mini-project using Power BI that showcases your ability to automate and optimise dashboards. Share it on LinkedIn or GitHub to grab the attention of potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering and analysis questions. We recommend practising your responses to technical scenarios, especially around ETL processes and data governance.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Data Analyst/Engineer - Power BI in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Power BI and data engineering. We want to see how your skills match the job description, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this role. Mention specific experiences that relate to the responsibilities listed in the job description, and show us your enthusiasm for the position.
Showcase Your Technical Skills: Since this role focuses on ETL processes and data modelling, make sure to include any relevant technical skills or tools you’ve worked with. We love seeing candidates who can demonstrate their expertise in data workflows and governance!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Sanderson Government & Defence
✨Know Your ETL Inside Out
Make sure you can talk confidently about your experience with ETL processes. Be ready to discuss specific projects where you've designed and implemented these pipelines, as well as any challenges you faced and how you overcame them.
✨Show Off Your Power BI Skills
Prepare to demonstrate your knowledge of Power BI data models and reporting environments. Bring examples of dashboards you've worked on, and be ready to explain how you ensured data accuracy and performance in those projects.
✨Understand Data Governance
Brush up on data governance principles and be prepared to discuss how you've applied them in previous roles. Highlight your experience with metadata management and how it contributes to sustainable reporting.
✨Ask Insightful Questions
Come prepared with questions that show your interest in the role and the company. Ask about their current data landscape, the tools they use for ETL, or how they measure the success of their dashboards. This shows you're engaged and thinking critically about the position.