At a Glance
- Tasks: As an Azure Data Engineer, you'll design and implement modern data architectures while mentoring others.
- Company: Join Simpson Associates, a Microsoft Solutions Partner recognised for driving positive change through data.
- Benefits: Enjoy flexible working options, professional development opportunities, and a collaborative team culture.
- Why this job: Be part of a mission-driven company that values creativity and innovation in the tech space.
- Qualifications: Technical expertise in data engineering and familiarity with modern data architectures are essential.
- Other info: Candidates must obtain Security Clearance and NPPV Level 3.
The predicted salary is between 36000 - 60000 £ per year.
Simpson Associates transforms raw data into actionable insights that drive positive change.
Our Microsoft data expertise, our specialist sector knowledge, plus our innovative and trusted advice and guidance are just some of the reasons clients choose to work with us.
Our mission is to help purpose-led organisations from within the public and private sectors to harness data as a lever for change and enable them to realise business value more quickly. We provide the full range of services to support organisations on their data transformation journey. From advisory support and data strategy, to developing Data & AI solutions, right through to providing a range of managed services.
We are a Microsoft Solutions Partner, holding Specialisations in AI Platform on Microsoft Azure, Analytics on Microsoft Azure, Data Warehouse Migration to Microsoft Azure and Migrate Enterprise Applications to Microsoft Azure, as well as holding Solutions Partner designations in Data & AI (Azure); Digital & App Innovation (Azure); Infrastructure (Azure) and Security.
But it\’s not just about the badges. We are proud to be recognised as the winner of the 2024 Microsoft Community Response Partner of the Year award, reflecting our dedication to using technology for positive change. We are also a Databricks partner, and an IBM Gold Partner, specialising in Cognos Analytics and Planning Analytics.
With offices in York and Sheffield, and a team based throughout the UK – we champion creativity, innovation and collaboration in the workplace.
The Role
The role of the Azure Data Engineer is designed to provide the functions outlined below and is seen both within the business and our customers as a technical expert in their field of data engineering. The role supports the business through a high level of skill in data engineering, recognised as a go-to resource for more complex/modern architectural and implementation queries relating to data engineering.
Skills and Attributes Required
- As an Azure Data Engineer, to be a technical expert, confident in advising on the architectural design as well as product implementation and development. The focus will be on modern data architectures and extending in line with business need into real time architectures.
- The in-depth knowledge provides an understanding of common source systems, integration requirements, key data queries and logical designs. The sector specific knowledge ensures customer confidence in our implementation through demonstrable knowledge of their sector, as well as efficiencies through pre-existing experience.
- To understand our technological and sector aligned accelerators. To own and/or contribute to these accelerators as required and recognising the importance of the development of our own IP.
- Identifies best practices, collating these and providing training and materials on these as appropriate. This may include FAQs, common errors, standard implementation patterns/approaches.
- Able to rapidly understand and adopt similar technologies required for ad-hoc work, for example IBM i2, Talend, Alteryx .
- Assess technical suitability of job applicants, through conducting 1st round technical interviews supported by the Talent Acquisition Manager.
- To support the sales team in tender response documents, based on your area of expertise in terms of sector and technology.
- Ability to understand the relationship between own specialism and wider customer and organizational requirements. To have the ability to perform an extensive range and variety of complex technical activities in a range of contexts and applying best-practice approaches.
- To work with the customer to identify and prioritise business requirements. This includes running a design workshop, appropriately challenging the customer, controlling the scope and producing the functional requirements documentation.
- To accurately estimate the project, showing understanding for the different roles and work packages required. Addressing any differences in estimate between the proposal and requirements analysis with the support of the Account Manager.
- To take the functional requirements and convert these to a technical specification. Communicate the design in an easy to understand manner to the customer and acknowledging their level of technical understanding, utilising visualization in the form of schematics or data flow diagrams as appropriate.
- To work with Consultants throughout the project and to provide guidance, mentoring and leadership to them. This may include issuing and receive work packages enabling a controlled well-run project and monitoring and revising the assignment of work packages.
Key Responsibilities
- To be responsible for the quality of the project, achieved through quality assuring yours and others work.
- To identify and mitigate issues at the earliest opportunity, utilising experience to preempt likely issues.
- To design and manage component testing, user acceptance testing, deployment and handover to Simpsons support. Ensuring that application support is in place or working with the Account Manager to secure this.
- Reliably delivers work within the time, cost and quality tolerances; in line with Prince 2 methodology. Creative and proactive in solving problems, whilst remaining re-assuring in front of our customers. The Azure Data Engineer is capable of working in both a waterfall and an agile style, able to identify, manage and influence factors to ensure the approach is appropriate for the project and customer.
- The Azure Data Engineer will also be confident running project delivery activities such as Sprint Planning, Estimation and Retrospective sessions where required.
- Demonstrates consultative selling, understands the customers’ business context and is able to identify other opportunities for Simpsons.
- Self-initiated personal development plans to ensure technical, business and consultancy skills are maintained.
- Contributes to marketing activities including ideas and content for case studies and blogs, aiming for at least 2 per year
- Demonstrate appropriate behaviour and work ethic according to Simpsons’ values and culture whilst achieving utilisation targets and hitting internal reporting deadlines with billing and expenses.
- The successful candidate will be required to obtain Security Clearance and NPPV Level 3.
#J-18808-Ljbffr
Data Engineer employer: Simpson Associates
Contact Detail:
Simpson Associates Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Familiarise yourself with Microsoft Azure and its data services, as this role heavily relies on Azure technologies. Consider exploring online courses or certifications that focus on Azure Data Engineering to enhance your knowledge and demonstrate your commitment.
✨Tip Number 2
Network with professionals in the data engineering field, especially those who work with Microsoft technologies. Attend industry meetups or webinars to connect with potential colleagues and learn about the latest trends and best practices in data engineering.
✨Tip Number 3
Showcase your problem-solving skills by preparing examples of how you've tackled complex data challenges in previous roles. Be ready to discuss these experiences during interviews, as they will highlight your ability to deliver quality results under pressure.
✨Tip Number 4
Research Simpson Associates and their projects to understand their approach to data transformation. Tailor your discussions in interviews to reflect how your skills align with their mission and values, demonstrating your genuine interest in contributing to their success.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Azure Data Engineer role. Focus on your technical expertise in data engineering, Microsoft Azure, and any specific projects that demonstrate your ability to transform data into actionable insights.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your understanding of Simpson Associates' mission. Mention how your background and skills can contribute to their goal of helping organisations harness data for positive change.
Showcase Relevant Projects: Include specific examples of past projects where you successfully implemented data solutions or worked with modern data architectures. Highlight your problem-solving skills and ability to work collaboratively, as these are key attributes for the role.
Prepare for Technical Questions: Anticipate technical questions related to data engineering and Microsoft Azure during the interview process. Brush up on best practices, common integration requirements, and be ready to discuss your approach to complex architectural challenges.
How to prepare for a job interview at Simpson Associates
✨Showcase Your Technical Expertise
As a Data Engineer, it's crucial to demonstrate your in-depth knowledge of data engineering principles and modern architectures. Be prepared to discuss specific technologies you've worked with, such as Azure, Databricks, or IBM Cognos, and how you've applied them in real-world scenarios.
✨Understand the Company's Mission
Familiarise yourself with Simpson Associates' mission to transform raw data into actionable insights. During the interview, express how your skills align with their goal of helping organisations harness data for positive change, showcasing your passion for the industry.
✨Prepare for Scenario-Based Questions
Expect to face scenario-based questions that assess your problem-solving abilities and technical judgement. Practice articulating your thought process when tackling complex data challenges, and be ready to explain how you would approach design workshops or project delivery activities.
✨Demonstrate Collaborative Skills
Since the role involves working closely with customers and team members, highlight your experience in collaboration and mentorship. Share examples of how you've guided others in previous projects and how you can contribute to a positive team dynamic at Simpson Associates.