Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Transform raw data into insights and optimise data infrastructure using Azure Data Factory and SQL.
- Company: Join a dynamic team focused on innovative data solutions and analytical excellence.
- Benefits: Enjoy remote work flexibility and a collaborative environment that values your input.
- Why this job: Be part of impactful projects that drive business decisions and enhance your technical skills.
- Qualifications: 6+ years of experience in Azure, SQL, and ETL processes required.
- Other info: This is a 6-month contract role with potential for future opportunities.
The predicted salary is between 48000 - 72000 £ per year.
Role Title: Data Engineer / Lead (ADF , Strong SQL and ETL)
Possibility of remote work: Yes
Contract duration: 6 months
Location: Remote from anywhere in the UK
—————————————
JOB DETAILS
Required Core Skills:
Azure
SQL
ETL
Minimum years of experience: 6+ years
Job Description:
We are seeking an 6+ year skilled and highly motivated Data professional with expertise in Azure Data factory and SQL to help us build, maintain, and optimize our data infrastructure and analytical solutions. You will be instrumental in transforming raw data into actionable insights, supporting various business functions. Develop, optimize, and maintain complex SQL queries for data extraction, transformation, and loading (ETL/ELT) processes within ADF. Design and implement scalable data models and schemas in Snowflake to support analytical reporting and business intelligence initiatives. Collaborate with stakeholders to understand data requirements and translate them into technical solutions. Perform data validation, testing, and quality assurance to ensure data accuracy and integrity.
Data Engineer/Lead (ADF , Strong SQL and ETL) employer: eTeam
Contact Detail:
eTeam Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer/Lead (ADF , Strong SQL and ETL)
✨Tip Number 1
Familiarise yourself with Azure Data Factory and its features. Consider building a small project or contributing to open-source projects that utilise ADF, as this hands-on experience can really set you apart during interviews.
✨Tip Number 2
Brush up on your SQL skills by solving complex queries and optimising them for performance. You might want to explore platforms like LeetCode or HackerRank to practice SQL challenges that mimic real-world scenarios.
✨Tip Number 3
Network with professionals in the data engineering field through LinkedIn or local meetups. Engaging with others can provide insights into the role and may even lead to referrals, which can significantly boost your chances of landing the job.
✨Tip Number 4
Prepare to discuss your previous projects and how you've used ETL processes to solve business problems. Be ready to explain your thought process and the impact of your work, as this will demonstrate your expertise and problem-solving abilities.
We think you need these skills to ace Data Engineer/Lead (ADF , Strong SQL and ETL)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure Data Factory, SQL, and ETL processes. Use specific examples of projects where you've successfully implemented these skills to demonstrate your expertise.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about data engineering and how your background aligns with the role. Mention your experience in transforming raw data into actionable insights and your ability to collaborate with stakeholders.
Showcase Relevant Projects: If you have worked on relevant projects, include them in your application. Describe your role, the technologies used, and the outcomes achieved. This will help illustrate your hands-on experience and problem-solving skills.
Highlight Soft Skills: Data engineering isn't just about technical skills. Emphasise your communication and teamwork abilities, as you'll need to collaborate with various stakeholders. Mention any experience you have in leading teams or projects.
How to prepare for a job interview at eTeam
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Azure Data Factory, SQL, and ETL processes in detail. Bring examples of complex SQL queries you've developed and how they contributed to data transformation and analysis.
✨Understand the Business Context
Research the company and its business functions. Be ready to explain how your data solutions can support their specific needs and improve decision-making processes.
✨Demonstrate Problem-Solving Abilities
Prepare to discuss challenges you've faced in previous roles and how you overcame them. Highlight your analytical thinking and ability to design scalable data models that meet business requirements.
✨Ask Insightful Questions
At the end of the interview, ask questions that show your interest in the role and the company. Inquire about their current data infrastructure, future projects, or how they measure success in data initiatives.
