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- Tasks: Design, build, and maintain data solutions on the enterprise data platform.
- Company: Join Datatech Analytics, a leading UK recruitment agency in analytics.
- Benefits: Enjoy remote work options, a homeworking allowance, and competitive salaries.
- Why this job: Be part of a collaborative team, mentoring others while working on impactful data projects.
- Qualifications: Degree level education or equivalent experience in Azure and data engineering required.
- Other info: Opportunities for career growth and participation in referral schemes available.
The predicted salary is between 38000 - 46000 £ per year.
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Remote Working – UK Home-based with occasional travel into the office
£45,456- £55,149 (London within the M25)
Additional allowance for exceptional candidates – Max Salary – £62,000 (National) and £67,000 (London within the M25)
Homeworking allowance of £581 per annum
Job Ref: J12964
A Senior Azure Data Engineer is required to design, build, test and maintain data on the enterprise data platform, allowing accessibility of the data that meets business and end user needs.
The successful individual will be responsible for maximising the automations, scalability, reliability and security of data services, focusing on opportunities for re-use, adaptation and efficient engineering. Additionally you will support the team but knowledge sharing and mentoring more junior members of the team.
Accountabilities:
- Design, build and test data pipelines and services, based on feeds from multiple systems using a range of different storage technologies and/or access methods provided by the Enterprise Data Platform, with a focus on creating repeatable and reusable components and products.
- Design, write and iterate code from prototype to production ready. Understand security, accessibility and version control. Use a range of coding tools and languages as required.
- Work closely with colleagues across the Data & Insight Unit to effectively translate requirements into solutions, and accurately communicate across technical and non-technical stakeholders as well as facilitating discussions within a multidisciplinary team.
- Deliver robust, supportable and sustainable data solutions in accordance with agreed organisational standards that ensure services are resilient, scalable and future proof.
- Understand the concepts and principles of data modelling and produce, maintain and update relevant physical data models for specific business needs, aligning to the enterprise data architecture standards.
- Design and implement data solutions for the ingest, storage and use of sensitive data within the organisation, including designing and implementing row and field-level controls as needed to appropriately control, protect and audit such data.
- Clearly, accurately and informatively document and annotate code, routines and other components to enable support, maintenance and future development.
- Work with QA Engineers to execute testing where required, automating processes as much as possible.
- Learn from what has worked as well as what has not, being open to change and improvement and working in ‘smarter’, more effective ways.
- Work collaboratively, sharing information appropriately and building supportive, trusting and professional relationships with colleagues and a wide range of people within and outside of the organisation.
- Provide oversight and assurance of suppliers and team members, coaching and mentoring colleagues to create a highly-performant and effective team.
- Design and undertake appropriate quality control and assurance for delivery of output.
- Provide direction and guidance to peers and junior colleagues, including line management and development of teams, where required.
Essential Skills and Experience:
- Educated to degree level or have equivalent professional experience.
- Experience of MS Azure Databricks
- Experience working with Database technologies such as SQL Server, and Data Warehouse Architecture with knowledge of big data, data lakes and NoSQL.
- Experience following product/solution development lifecycles using frameworks/methodologies such as Agile, SAFe, DevOps and use of associated tooling (e.g., version control, task tracking).
- Demonstrable experience writing ETL scripts and code to make sure the ETL processes perform optimally.
- Experience in other programming languages for data manipulation (e.g., Python, Scala).
- Extensive experience of data engineering and the development of data ingest and transformation routines and services using modern, cloud-based approaches and technologies.
- Understanding of the principles of data modelling and data flows with ability to apply this to design of data solutions.
- Experience of supporting and enabling AI technologies.
- Experience implementing data flows to connect operational systems, data for analytics and BI systems.
- Experience translating business requirements into solution design and implementation.
- Experience in assessing and analysing technical issues or problems in order to identify and implement the appropriate solution.
- Knowledge and experience of data security and data protection (e.g., GDPR) practices and application of these through technology.
- Strong decision-making, leadership and mentoring skills
- Proven ability to understand stakeholder needs, manage their expectations and influence at all levels on the use of data and insight.
Additional Requirements:
Candidates must have an existing and future right to live and work in the UK. Sponsorship at any point is not available.
If this sounds like the role for you then please apply today!
Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme.
Datatech is one of the UK’s leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data. For more information, visit our website:
Seniority level
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Seniority level
Mid-Senior level
Employment type
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Employment type
Full-time
Job function
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Job function
Information Technology and Analyst
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Industries
Public Health
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Senior Azure Data Engineer employer: Datatech Analytics
Contact Detail:
Datatech Analytics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Azure Data Engineer
✨Tip Number 1
Familiarise yourself with the latest Azure technologies and tools, especially Azure Databricks, as this is crucial for the role. Consider taking online courses or certifications to demonstrate your expertise and commitment to staying updated in the field.
✨Tip Number 2
Network with professionals in the data engineering space, particularly those who work with Azure. Join relevant online forums or LinkedIn groups where you can engage in discussions, share insights, and potentially connect with current employees at Datatech Analytics.
✨Tip Number 3
Prepare to discuss your experience with Agile and DevOps methodologies during interviews. Be ready to provide examples of how you've successfully implemented these frameworks in past projects, as this will showcase your ability to adapt to their working environment.
✨Tip Number 4
Highlight your mentoring and leadership skills, as the role involves coaching junior team members. Think of specific instances where you've guided others or led a project, and be prepared to share these experiences during your conversations with the hiring team.
We think you need these skills to ace Senior Azure Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the job description. Focus on your expertise in Azure Databricks, SQL Server, and data engineering practices.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your understanding of the role. Mention specific projects or experiences that demonstrate your ability to design and implement data solutions.
Showcase Technical Skills: In your application, clearly outline your technical skills, especially in programming languages like Python and Scala, as well as your experience with ETL processes and data modelling.
Highlight Leadership Experience: Since the role involves mentoring junior team members, include examples of your leadership experience. Discuss how you've supported colleagues and contributed to team success in previous roles.
How to prepare for a job interview at Datatech Analytics
✨Showcase Your Technical Skills
Be prepared to discuss your experience with MS Azure Databricks, SQL Server, and other relevant technologies. Bring examples of data pipelines you've designed or ETL scripts you've written to demonstrate your expertise.
✨Understand the Business Context
Make sure you can articulate how your technical skills translate into business solutions. Be ready to discuss how you've previously translated business requirements into effective data solutions.
✨Emphasise Collaboration and Mentoring
Highlight your experience working in multidisciplinary teams and your ability to mentor junior colleagues. Share specific examples of how you've built supportive relationships and contributed to team success.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities. Prepare to discuss how you've tackled technical challenges in the past, particularly in relation to data security and compliance with regulations like GDPR.
