At a Glance
- Tasks: Design and maintain data pipelines, models, and architecture using Azure technologies.
- Company: Join a leading Wealth Management firm with a focus on innovation and support.
- Benefits: Enjoy 25-28 days holiday, private medical insurance, and professional development opportunities.
- Other info: Collaborative environment with strong mentorship and career growth potential.
- Why this job: Make a real impact in data engineering while working with cutting-edge technology.
- Qualifications: 5+ years in Data Engineering with expertise in Azure Data Factory and Power BI.
The predicted salary is between 60000 - 70000 £ per year.
Excellent career opportunity!
The Organisation TDRC are excited to be once again working with one of the UK’s leading Wealth Management firms. Through their robust infrastructure, cutting edge technology, and exceptional support, they are delivering an excellent and reliable service to their continuously expanding client base. They are providing the utmost level of quality and security in everything they do.
Key Responsibilities
- Design, build, and maintain Azure Data Factory (ADF) pipelines to support complex data integration and transformation needs.
- Develop scalable and optimised data models in Azure Synapse Analytics for analytical and operational reporting.
- Govern and enhance Power BI datasets and semantic models, ensuring best practice in DAX, performance tuning, and report design.
- Lead the development of data architecture and standards across Azure Data Lake and Synapse environments.
- Contribute to the migration to Microsoft Fabric, shaping platform architecture and integration patterns.
- Implement and maintain data validation, monitoring, and quality frameworks.
- Work collaboratively with cross-functional teams to translate business requirements into robust technical solutions.
- Mentor and support data engineers, ensuring adherence to engineering best practices.
- Participate in Agile delivery using Azure DevOps for backlog management, sprint planning, and CI/CD.
Technical Skills
- Azure Data Factory: Expert in building, automating, and optimising ETL pipelines.
- Azure Synapse Analytics: Strong experience with dedicated SQL pools, data warehousing concepts, and performance tuning.
- Power BI: Advanced experience managing enterprise models, datasets, and governance processes.
- SQL: Expert-level proficiency in query design, optimisation, and data transformation.
- Azure Data Lake: Deep understanding of data structures, storage layers, and integration for analytics.
- Microsoft Fabric (Emerging): Contribute to the organisation’s transition and adoption strategy.
- Git / Azure DevOps: Skilled in version control, release management, and CI/CD.
- Azure Machine Learning (Desirable): Experience applying or integrating ML models to enhance analytics.
- ChatGPT / Copilot Integrations (Desirable): Experience leveraging AI for data automation and insight generation.
Soft Skills
- Strong leadership and mentoring capability to support and develop junior engineers.
- Excellent documentation and knowledge-sharing practices.
- Analytical and adaptable in resolving complex data challenges.
- Effective communicator, able to collaborate with both technical and business stakeholders.
- Quality-focused with a continuous improvement mindset.
Experience
- 5+ years of experience in a Data Engineering role within a cloud-based environment.
- Proven delivery of data solutions using Azure Data Factory, Synapse Analytics, and Power BI.
- Experience leading or contributing to data platform modernisation initiatives, ideally involving Microsoft Fabric.
- Prior experience mentoring others and driving technical standards across teams.
Benefits
This is an impressive business offering a supportive work environment with opportunities for both personal and professional development. Some of the benefits include:
- Holiday Entitlement–25 days rising to 28 over 5 years
- Holiday purchase scheme - 5 days and carry over 5 days into the following year
- 3-4 days over Christmas – offices close
- A day to celebrate your birthday, A day to move house, A day for your wedding, A day to make a difference (volunteering day), Give blood (2 hours)
- Pension–7% employer / 5% employee contribution
- Private Medical Insurance (PMI) –MHD with optical & dental cover (no upper age limit)
- Group Income Protection (GIP) –75% of salary (to state pension age)
- Death in Service (DIS) –4 x salary (to age 70)
- Critical Illness Cover (CIC) -£10k cover (to age 70)
- Bonus scheme
- Professional qualifications, study, training and development
- And many more…..
Get in touch to find out more about the benefit package, the organisation, and this career opportunity.
To apply for this role please contact us at:
Mags Rendle
0203 640 2133
mags@digitalrecruitmentcompany.com
www.digitalrecruitmentcompany.com
Senior Data Engineer in London employer: The Digital Recruitment Company
Join one of the UK's leading Wealth Management firms, where you will thrive in a supportive work environment that prioritises personal and professional development. With a strong focus on cutting-edge technology and a commitment to quality, you'll have access to exceptional benefits, including generous holiday entitlements, private medical insurance, and opportunities for continuous learning and growth. This is an excellent opportunity for a Senior Data Engineer to make a meaningful impact while enjoying a collaborative and innovative culture in vibrant locations such as London, Reading, Birmingham, Glasgow, or Leeds.
Contact Details:
The Digital Recruitment Company Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work at companies you're interested in. A friendly chat can sometimes lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Azure Data Factory and Power BI. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with Azure Synapse Analytics and how you've tackled complex data challenges in the past.
✨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 take the initiative to connect directly with us.
We think you need these skills to ace Senior Data Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with Azure Data Factory, Synapse Analytics, and Power BI. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Projects:If you've worked on any relevant projects, make sure to mention them! Whether it's building ETL pipelines or optimising data models, we want to know what you've done and how it relates to the role.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at The Digital Recruitment Company
✨Know Your Tech Inside Out
Make sure you’re well-versed in Azure Data Factory, Synapse Analytics, and Power BI. Brush up on your ETL pipeline skills and be ready to discuss specific projects where you've implemented these technologies. The more detailed your examples, the better!
✨Showcase Your Leadership Skills
As a Senior Data Engineer, you'll likely be mentoring others. Prepare to share experiences where you've led teams or supported junior engineers. Highlight your approach to fostering collaboration and ensuring best practices in data engineering.
✨Understand the Business Context
Familiarise yourself with the wealth management sector and how data plays a role in it. Be prepared to discuss how your technical solutions can translate into business value, especially in terms of client service and operational efficiency.
✨Prepare for Agile Discussions
Since the role involves Agile delivery using Azure DevOps, be ready to talk about your experience with sprint planning, backlog management, and CI/CD processes. Share how you've contributed to Agile teams and any challenges you've overcome in that environment.
