Senior Azure Data Engineer - UK remote
Senior Azure Data Engineer - UK remote

Senior Azure Data Engineer - UK remote

Full-Time 39784 - 49477 Β£ / year (est.) No home office possible
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At a Glance

  • Tasks: Design, build, and maintain data solutions on the enterprise data platform.
  • Company: Join Datatech, a leading UK recruitment agency in analytics.
  • Benefits: Enjoy remote work, a homeworking allowance, and competitive salary packages.
  • Why this job: Be part of a collaborative team driving innovation in data engineering.
  • Qualifications: Degree or equivalent experience in data engineering with Azure expertise required.
  • Other info: Opportunities for mentoring and professional growth available.

The predicted salary is between 39784 - 49477 Β£ per year.

The role of the Senior Azure Data Engineer is 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 role holder will be responsible for maximising the automations, scalability, reliability and security of data services, focusing on opportunities for re-use, adaptation and efficient engineering.

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.
  • Keep abreast of opportunities for innovation with new tools and uses of data.
  • 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 translating business requirements into solution design and implementation.
  • 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 documenting source-to-target mappings.
  • 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.
  • Ability to identify problems and lead the delivery of solutions and preventative measures, escalating where appropriate.
  • Proven ability to understand stakeholder needs, manage their expectations and influence at all levels on the use of data and insight.

Desirable:

  • Knowledge and understanding of the health and care sectors.
  • Experience of using Power BI and creating reports/analysing data.

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!

Senior Azure Data Engineer - UK remote employer: Datatech Analytics

As a Senior Azure Data Engineer with us, you will thrive in a dynamic and supportive work culture that prioritises innovation and collaboration. We offer competitive salaries, a generous homeworking allowance, and ample opportunities for professional growth, ensuring you can develop your skills while contributing to impactful data solutions. Join our team and enjoy the flexibility of remote working in the UK, with occasional office visits that foster teamwork and camaraderie.
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Contact Detail:

Datatech Analytics Recruiting Team

StudySmarter Expert Advice 🀫

We think this is how you could land Senior Azure Data Engineer - UK remote

✨Tip Number 1

Familiarise yourself with the latest Azure technologies and tools, especially Azure Databricks, as this is crucial for the role. Consider joining online forums or communities where Azure professionals share insights and experiences.

✨Tip Number 2

Network with current employees or professionals in similar roles to gain insights into the company culture and expectations. LinkedIn can be a great platform for this, so don’t hesitate to reach out!

✨Tip Number 3

Brush up on your ETL processes and data modelling principles, as these are key components of the job. You might want to create a small project or case study to showcase your skills in these areas during interviews.

✨Tip Number 4

Prepare to discuss your experience with Agile methodologies and how you've applied them in past projects. Being able to articulate your approach to collaboration and problem-solving will set you apart from other candidates.

We think you need these skills to ace Senior Azure Data Engineer - UK remote

Azure Databricks
SQL Server
Data Warehouse Architecture
Big Data
Data Lakes
NoSQL
ETL Processes
Python
Scala
Cloud-based Data Engineering
Data Modelling Principles
AI Technologies Support
Data Flow Implementation
Source-to-Target Mapping Documentation
Technical Issue Analysis
Data Security Practices
GDPR Compliance
Leadership Skills
Stakeholder Management
Agile Methodologies
DevOps Frameworks
Version Control Tools
Task Tracking Tools
Power BI

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 those related to ETL processes, programming languages like Python or Scala, and your experience with cloud-based technologies.

Highlight Collaboration Experience: Emphasise your ability to work collaboratively with multidisciplinary teams. Provide examples of how you've effectively communicated with both technical and non-technical stakeholders in previous roles.

How to prepare for a job interview at Datatech Analytics

✨Showcase Your Technical Skills

As a Senior Azure Data Engineer, you'll need to demonstrate your expertise in MS Azure Databricks and various database technologies. Be prepared to discuss specific projects where you've designed and implemented data solutions, focusing on the tools and languages you've used.

✨Communicate Clearly with Stakeholders

This role requires effective communication with both technical and non-technical stakeholders. Practice explaining complex concepts in simple terms and be ready to provide examples of how you've successfully translated business requirements into technical solutions.

✨Emphasise Collaboration and Teamwork

Highlight your experience working in multidisciplinary teams. Discuss how you've built supportive relationships with colleagues and contributed to a collaborative environment, as this is crucial for delivering robust data solutions.

✨Prepare for Problem-Solving Questions

Expect questions that assess your ability to identify and solve technical issues. Prepare examples of challenges you've faced in previous roles, how you approached them, and the outcomes. This will showcase your decision-making and leadership skills.

Senior Azure Data Engineer - UK remote
Datatech Analytics
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