At a Glance
- Tasks: Design and implement Azure data engineering solutions while developing and maintaining data pipelines.
- Company: Dynamic tech company based in London, focused on innovative data solutions.
- Benefits: Competitive pay, flexible work environment, and opportunities for professional growth.
- Other info: Exciting role with potential for career advancement in a collaborative setting.
- Why this job: Join a cutting-edge team and make an impact with your data skills.
- Qualifications: Experience with Azure technologies, Python, SQL, and Power BI.
The predicted salary is between 60000 - 80000 £ per year.
Consultez les informations essentielles de la mission, puis candidatez depuis votre espace freelance.
Informations clés
- Adresse: Londres
- Date de début de la mission: 23/12/2025
- Durée de la mission: 90 jours
- Date de publication de l'offre: 14/01/2026
Description de l'offre
Objectif de la mission: Recherche d'un candidat expérimenté pour un rôle de Senior Azure Data Engineer / Devops Engineer. L'individu doit maîtriser les technologies telles que Azure Databricks, Pyspark, ADF, Synapse, Python, SQL et Power BI.
Missions principales:
- Conception et mise en oeuvre de solutions d'ingénierie de données Azure
- Développement et maintenance des pipelines de données
- Gestion des projets et collaborations avec les équipes techniques
Profil recherché:
- Maîtrise des technologies Azure (Databricks, ADF, Synapse)
- Expérience dans les langages de programmation tels que Python et SQL
- Connaissance approfondie de Power BI pour le traitement de données et la modélisation
Compétences requises:
- Nettoyage de données avec Power Query (élimination de doublons, erreurs, espaces vides)
- Fondements de modélisation de données (schémas étoiles)
- Fonctions DAX essentielles (SUM(), COUNT(), AVERAGE())
- Gestion de visualisations pertinentes
- Optimisation de performances
Expérience minimum: Plusieurs années d'expérience dans le domaine.
Comment ça se passe ?
- Vous postulez avec votre profil Laotop.
- Un référent Laotop suit votre dossier.
- Vous êtes tenu au courant de la suite par email.
Ouvrez votre espace pour envoyer votre candidature et suivre les prochaines étapes.
Power BI Essentials pour Data Analysts employer: Laotop
Laotop is an exceptional employer, offering a dynamic work environment within a rapidly growing digital bank. Employees benefit from a culture of innovation and collaboration, with ample opportunities for professional development and growth in the fintech sector. Located in a vibrant area, Laotop provides unique advantages such as flexible working arrangements and a commitment to employee well-being, making it an ideal place for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Power BI Essentials pour Data Analysts
✨Tip Number 1
Get your networking game on! Connect with professionals in the data engineering and analytics space. Attend meetups, webinars, or even online forums. You never know who might have a lead on that perfect job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Power BI projects or any relevant data solutions you've developed. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews like a pro! Research common interview questions for Azure Data Engineers and practice your responses. Be ready to discuss your experience with tools like Databricks and ADF, and how you've tackled data challenges in the past.
✨Tip Number 4
Don't forget to apply through our website! It’s super easy and keeps everything organised. Plus, it shows you're serious about landing that role. So, get your profile up and start applying!
We think you need these skills to ace Power BI Essentials pour Data Analysts
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your application to highlight your experience with Azure technologies and Power BI. We want to see how your skills match the job description, so don’t hold back on showcasing your relevant projects!
Showcase Your Skills:When detailing your experience, focus on specific examples where you've used Python, SQL, or Power BI. We love seeing real-world applications of your skills, so share those success stories that demonstrate your expertise.
Keep It Clear and Concise:We appreciate a straightforward application. Avoid jargon and keep your language clear. Make it easy for us to see why you’re the right fit without wading through unnecessary fluff.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to track your application and keep you updated on the process. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Laotop
✨Know Your Tech Inside Out
Make sure you’re well-versed in Azure technologies like Databricks, ADF, and Synapse. Brush up on your Python and SQL skills too, as they’ll likely come up during technical discussions.
✨Showcase Your Power BI Skills
Prepare to discuss your experience with Power BI, especially around data cleaning, DAX functions, and visualisation techniques. Bring examples of past projects where you’ve successfully used these skills.
✨Understand the Role's Requirements
Familiarise yourself with the key responsibilities of a Senior Azure Data Engineer. Be ready to explain how your previous experiences align with the job description, particularly in data pipeline development and project management.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data strategy and team dynamics. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
