At a Glance
- Tasks: Design and maintain robust data integrations using Azure technologies.
- Company: Join a forward-thinking company focused on data-driven solutions.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with mentorship opportunities and career advancement.
- Why this job: Make a real impact by enhancing data accessibility across the organisation.
- Qualifications: 5 years in data integration with strong Azure experience required.
The predicted salary is between 60000 - 80000 £ per year.
As a Senior Data Integration Engineer, you will work closely with the Data and Analytics Team, and other stakeholders across the business to ensure seamless data accessibility and usage across the organisation.
Role
- Design, develop, and maintain scalable, robust data integrations using Azure Logic Apps, Azure Storage Accounts, Azure API Management, Microsoft Fabric, and other Azure Services.
- Implement integration patterns such as event-driven workflows, API-based integrations, and scheduled orchestrations.
- Ensure high availability, scalability, and security of integration workflows.
- Collaborate with IT and system users to understand business requirements and ensure data accessibility and integrity.
- Monitor integration solutions, troubleshoot failures, and proactively improve reliability.
- Lead continuous improvement initiatives, driving adoption of best practices and emerging Azure integration technologies.
- Support DevOps processes using Azure DevOps for CI/CD automation, version control, and deployment of Azure resources.
- Provide technical guidance and mentoring to junior team members to support their development and uphold best engineering standards.
- Ensure data security and compliance with industry standards and regulations, such as GDPR.
- Document data processes and workflows for both technical and non-technical audiences.
The Person
- Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Science, Engineering, or a related field.
- 5 years of experience in data integration, automation, or data engineering roles.
- 3 years hands-on experience using Azure Logic Apps (essential), but Power Automate experience will be considered.
- Strong experience working with Azure Services such as Storage Accounts, Key Vault, Azure Functions, API Management.
- Experience of developing Analytics solutions using Microsoft Fabric or comparable Azure PaaS services, Azure Data Factory, Synapse etc.
- Experience building and deploying Azure solutions using Azure DevOps pipelines and ARM/Bicep/Terraform templates.
- Proficiency with REST APIs, authentication methods (OAuth, Managed Identities), and system-to-system integration patterns.
- Knowledge of data modelling techniques and best practices.
- Proven record of mentoring and working closely with junior members of a team, with desire to take on future line management responsibilities.
- Experience of using Purview and Power BI is also Desirable, but not essential.
- Desirable certifications: DP-203 Azure Data Engineer, DP-600 Fabric Analytics Engineer Associate, AZ-900 Azure Fundamentals and DP-900 Azure Data Fundamentals.
- Strong problem-solving skills with attention to detail and the ability to troubleshoot complex data issues.
- Excellent communication and collaboration skills, able to work across teams to deliver solutions that meet business needs.
Locations
Senior Data Engineer in City of London, London employer: Bell Integration
As a leading employer in the tech industry, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to excel. Our Senior Data Engineers benefit from continuous professional development opportunities, competitive remuneration, and a supportive environment that encourages mentorship and knowledge sharing. Located in a vibrant area with access to cutting-edge technology and resources, we are committed to ensuring our team members thrive both personally and professionally.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer in City of London, London
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Senior Data Engineer in City of London, 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 Bell Integration, 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 Bell Integration. 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 Bell Integration
✨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 Bell Integration!
✨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.
