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- Tasks: Design and deliver a modern cloud-first data platform for a leading financial organisation.
- Company: Join a top UK financial sector company driving major data transformation.
- Benefits: Hybrid work model, competitive pay, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career advancement.
- Why this job: Make a real impact on critical functions with cutting-edge data solutions.
- Qualifications: Experience in Azure services, SQL, Python, and strong data architecture knowledge.
The predicted salary is between 60000 - 80000 £ per year.
A leading organisation within the UK financial sector is embarking on a major data transformation programme. They are looking for an experienced Data Engineer to help design and deliver a modern, cloud‑first data platform that will underpin some of the organisation’s most critical functions.
- Design, build and deploy scalable, secure data solutions using Azure Databricks, Data Factory and Data Lake Storage.
- Develop and optimise advanced data pipelines with Python, SQL, Spark/PySpark and Delta Lake.
- Champion strong data quality, governance and observability practices.
- Extensive experience with Azure services including Azure Databricks, Azure Data Lake Storage, and Azure Data Factory.
- Advanced proficiency in SQL, Python, and Spark (PySpark), with a strong focus on performance optimization and distributed processing.
- Strong understanding of data architecture principles and cloud-native design patterns.
- Demonstrated ability to lead technical delivery, mentor engineering teams and collaborate with stakeholders to ensure alignment between data solutions and business strategy.
- Proficiency in Linux/Unix environments and shell scripting.
- Deep understanding of source control, testing strategies, and agile development practices.
- Self-motivated with a strategic mindset and a passion for driving innovation in data engineering.
- Experience delivering data pipelines on Hortonworks/Cloudera on-prem and leading cloud migration initiatives.
- Familiarity with Apache Airflow, data modelling, and metadata management.
- Experience influencing enterprise data strategy and contributing to architectural governance.
Ingegnere Dei Dati employer: Lorien
Contact Detail:
Lorien Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Ingegnere Dei Dati
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work in the financial sector. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with Azure Databricks, Data Factory, and Python. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with data pipelines, cloud migration, and governance practices. We want to see your passion for data engineering shine through!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Ingegnere Dei Dati
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with Azure services, Python, and SQL. We want to see how your skills match what we're looking for!
Showcase Your Projects: Include specific projects where you've designed and deployed data solutions. We love seeing real examples of your work, especially if they involve cloud-native design patterns or advanced data pipelines.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so avoid jargon unless it's relevant to the role. Make it easy for us to see your qualifications!
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Lorien
✨Know Your Tech Stack
Make sure you’re well-versed in Azure Databricks, Data Factory, and Data Lake Storage. Brush up on your SQL, Python, and Spark skills, as these will be crucial in demonstrating your technical prowess during the interview.
✨Showcase Your Projects
Prepare to discuss specific projects where you've designed and deployed data solutions. Highlight your role in optimising data pipelines and any challenges you overcame, especially in cloud migration or using tools like Apache Airflow.
✨Understand the Business Context
Research the organisation’s data transformation programme and how it aligns with their business strategy. Being able to articulate how your skills can contribute to their goals will set you apart from other candidates.
✨Demonstrate Leadership and Collaboration
Be ready to talk about your experience leading teams and collaborating with stakeholders. Share examples of how you’ve mentored others or influenced data strategy, as this shows you can drive innovation and align technical solutions with business needs.