At a Glance
- Tasks: Design and maintain Power BI dashboards to support decision-making across Europe.
- Company: Dynamic European data function based in Lisbon with a hybrid work culture.
- Benefits: Competitive salary, opportunity for ownership, and modern Azure-based tools.
- Other info: Join a collaborative team focused on improving data usage across the organisation.
- Why this job: Make a real impact on data-driven decisions while working with cutting-edge technologies.
- Qualifications: Strong Power BI and SQL skills; proactive mindset is key.
The predicted salary is between 30213 - 34529 £ per year.
Salary: £30,213 - 34,529 per year
Requirements
- Strong Power BI experience, including report building, debugging, and data validation
- Solid SQL fundamentals, comfortable working with joins and querying data to investigate issues
- Experience analysing and validating data, not just visualising it
- Exposure to Databricks or similar platforms for deeper data investigation
- Familiarity with Azure-based data environments (e.g. Data Factory, Databricks, Power BI Service)
- Understanding of data modelling concepts within a data warehouse environment
- Experience working across multiple data domains (finance, operations, logistics is a bonus)
- Excellent communication skills, able to manage expectations and clearly explain findings to stakeholders across Europe
- A proactive, self-starter mindset, comfortable in a reactive environment with shifting priorities
- Beneficial but not essential: Degree in statistics, engineering, computer science, or a related analytical discipline
- Power BI certifications (e.g. PL-300 / DA-100)
- Familiarity with DevOps practices, boards, or reporting processes
Responsibilities
- Design, build, and maintain Power BI dashboards and reports that support decision-making across multiple European markets and data domains
- Take ownership of incoming reporting requests and issues, investigating discrepancies and validating data
- Ensure stakeholders have confidence in the numbers reported
- Work across Power BI and Databricks to understand data end-to-end, maintaining a consistent single version of the truth
- Monitor and maintain reporting performance, contributing to documentation and knowledge sharing
- Actively participate in improving how data is used across the organisation
- Investigate data discrepancies or bugs raised by stakeholders and elevate to the Data Warehouse team when necessary
- Contribute to broader projects such as vendor reporting, logistics reporting improvements, and automation initiatives
Technologies
- Azure
- Data Warehouse
- Databricks
- DevOps
- Support
- Power BI
- SQL
- Cloud
We are a growing European data function based in Lisbon offering a hybrid working environment. Our focused reporting team works closely with Data Warehouse, Analytics, and operational stakeholders to shape decision-making through effective data solutions. This role provides the opportunity to take meaningful ownership early on while working with modern Azure-based tools. We value proactive and self-starters who can adapt to shifting priorities within our dynamic team.
EU Power BI Engineer in London employer: Akkodis
Join our dynamic team in Lisbon as an EU Power BI Engineer, where you'll enjoy a hybrid working environment that fosters collaboration and innovation. We prioritise employee growth through meaningful ownership of projects and the use of cutting-edge Azure-based tools, ensuring you have the opportunity to develop your skills while contributing to impactful data solutions across Europe. Our supportive work culture values proactive individuals who thrive in a fast-paced setting, making us an excellent employer for those seeking a rewarding career in data analytics.
StudySmarter Expert Advice🤫
We think this is how you could land EU Power BI Engineer in London
✨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 Akkodis!
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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 Akkodis.
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We think you need these skills to ace EU Power BI Engineer in London
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 Akkodis, 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 Akkodis. 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 Akkodis
✨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 Akkodis!
✨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.
