At a Glance
- Tasks: Design and test data pipelines on Azure for financial services clients.
- Company: Alphafmc, a leading consultancy in the UK.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Join a dynamic team with a focus on innovation and client success.
- Why this job: Gain hands-on experience and increase your client-facing responsibilities.
- Qualifications: Experience in data integration and Azure technologies.
The predicted salary is between 60000 - 80000 £ per year.
Alphafmc roles in the United Kingdom is seeking a Consultant to deliver data integration, migration, and development work for financial services clients. You’ll be hands-on across the delivery lifecycle, from scoping and design through build, test, and deployment, with growing ownership of workstreams and increasing client-facing responsibility.
Key responsibilities include:
- Designing and testing data pipelines on Azure (Data Factory, Synapse)
- Performing data mapping and validation
Senior Azure Data Integration Consultant employer: Alphafmcroles
Alpha FMC is an exceptional employer, offering a dynamic work environment in the heart of London where innovation meets expertise. With a strong focus on employee growth, we provide comprehensive training and development programmes, competitive salaries, and a profit-sharing opportunity, ensuring our team members are well-equipped to lead high-profile technology due diligence engagements. Our collaborative culture fosters mentorship and knowledge sharing, making Alpha FMC a rewarding place for professionals looking to make a significant impact in the financial services sector.
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We think this is how you could land Senior Azure Data Integration Consultant
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We think you need these skills to ace Senior Azure Data Integration Consultant
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!
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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.
