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- Tasks: Design and implement scalable data pipelines using Azure and Databricks technologies.
- Company: Join ShareForce, a leader in data analytics and AI evolution.
- Benefits: Enjoy remote work with occasional travel and competitive daily rates.
- Why this job: Lead exciting projects, mentor juniors, and shape the future of data science.
- Qualifications: Strong background in Azure services, Python, SQL, and data governance principles required.
- Other info: Contract role with an initial 6-month duration and potential for extension.
Join to apply for the Azure Data Engineer – Outside IR35 role at ShareForce .
This is an exciting contract opportunity for an Azure Data Engineer to join an experienced team in a new venture working at the forefront of data analytics and Artificial Intelligence. Our client equips ambitious organisations with enduring control of their data and AI evolution. This role is an opportunity to lead the build of bespoke data systems for our clients.
Responsibilities
- Design and implement scalable data pipelines and ETL processes using Azure and Databricks technologies.
- Lead technical discussions with clients and stakeholders to gather requirements and propose solutions.
- Work on high profile projects with well-known clients across various sectors.
- Help clients realise the potential of data science, machine learning, and scaled data processing within Azure / Databricks ecosystem.
- Mentor junior team members and support their personal development.
- Take ownership for the delivery of core solution components.
- Knowledge sharing through show and tells and contributing towards internal reusable assets.
- Support with planning, requirements refinement and work estimation.
Skills and Experiences
- Design and develop end-to-end data solutions leveraging Azure services for batch, real time and streaming workloads (including data ingestion, cleansing, modelling and integration).
- Strong background of enterprise data platform development, concepts and methods such as data warehouses and data lakehouse, with the ability to adapt and tailor based on requirements.
- Experience with Azure Synapse Analytics/or Azure Databricks, Microsoft Fabric, Data Factory.
- Expert Python, SQL and developer tooling such Visual Studio Code, Azure DevOps.
- Good experience of CI/CD practices and tools for data platforms using Azure DevOps.
- Good knowledge on how to leverage AI to increase development productivity and quality.
- Good understanding of data governance and data architecture principles.
- Excellent communication skills.
- Desirable certification in Azure Data Engineering and Databricks Engineering.
Additional Information
- Rate offered: £500-550 per day.
- IR35 Status: Outside.
- Location: Remote with occasional travel onsite in London.
- Start date: March.
- Duration: Initial 6 months with significant opportunity for extension.
Seniority level
Mid-Senior level
Employment type
Contract
Job function
Information Technology
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Azure Data Engineer - Outside IR35 employer: ShareForce, Inc.
Contact Detail:
ShareForce, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Azure Data Engineer - Outside IR35
✨Tip Number 1
Make sure to showcase your experience with Azure services and data engineering in your conversations. Highlight specific projects where you've designed and implemented scalable data pipelines, as this will resonate well with the team.
✨Tip Number 2
Prepare to discuss your knowledge of CI/CD practices and how you've applied them in previous roles. Being able to articulate your experience with Azure DevOps will demonstrate your readiness for the technical challenges of this position.
✨Tip Number 3
Familiarize yourself with the latest trends in data science and machine learning, especially within the Azure ecosystem. This will help you engage in meaningful discussions about how to leverage AI to enhance development productivity.
✨Tip Number 4
Since mentoring is a key part of this role, think of examples where you've supported junior team members or contributed to knowledge sharing. This will show your leadership potential and commitment to team development.
We think you need these skills to ace Azure Data Engineer - Outside IR35
Some tips for your application 🫡
Understand the Role: Take the time to thoroughly read the job description for the Azure Data Engineer position. Understand the key responsibilities and required skills, especially focusing on Azure services, data pipelines, and ETL processes.
Tailor Your CV: Customize your CV to highlight relevant experience in Azure, Databricks, and data engineering. Make sure to showcase any projects where you've designed and implemented data solutions, as well as your proficiency in Python and SQL.
Craft a Compelling Cover Letter: Write a cover letter that reflects your enthusiasm for the role and the company. Mention specific experiences that align with the responsibilities listed, such as leading technical discussions or mentoring team members.
Highlight Certifications: If you have any certifications related to Azure Data Engineering or Databricks, be sure to mention them prominently in your application. This can set you apart from other candidates and demonstrate your commitment to the field.
How to prepare for a job interview at ShareForce, Inc.
✨Show Your Technical Expertise
Be prepared to discuss your experience with Azure services, especially Azure Synapse Analytics and Databricks. Highlight specific projects where you designed and implemented data pipelines or ETL processes, showcasing your technical skills in Python and SQL.
✨Demonstrate Problem-Solving Skills
Expect to engage in technical discussions about client requirements. Prepare examples of how you've gathered requirements in the past and proposed effective solutions, particularly in high-profile projects. This will show your ability to lead and innovate.
✨Emphasize Mentorship Experience
Since mentoring junior team members is part of the role, share your experiences in guiding others. Discuss how you've supported their development and contributed to knowledge sharing within your team, which reflects your leadership qualities.
✨Communicate Clearly and Effectively
Excellent communication skills are crucial for this position. Practice articulating complex technical concepts in a clear and concise manner. Be ready to explain how you can help clients realize the potential of data science and AI in their operations.
