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- 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
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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 participating in online coding challenges. This will not only enhance your technical abilities but also demonstrate your problem-solving skills to potential employers.
✨Tip Number 3
Network with professionals in the data engineering field through platforms like LinkedIn. Engaging with industry groups and discussions can provide insights into the latest trends and may even lead to job referrals.
✨Tip Number 4
Prepare for technical interviews by practising common data engineering scenarios, especially those involving ETL processes. Being able to articulate your thought process and approach to problem-solving will impress interviewers.
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 6+ years of experience make you a perfect fit for the role. Mention any relevant projects or achievements that showcase your ability to transform raw data into actionable insights.
Showcase Technical Skills: Clearly outline your technical skills related to data modelling, SQL query optimisation, and data validation. If you have experience with Snowflake or similar tools, be sure to include that as well.
Highlight Collaboration Experience: Since the role involves collaborating with stakeholders, mention any past experiences where you've worked closely with teams to understand data requirements and deliver technical solutions. This will show your ability to communicate effectively and work in a team environment.
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 extraction and transformation.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your ability to troubleshoot data issues. Share specific instances where you identified a problem in the data pipeline and how you resolved it, highlighting your analytical thinking.
✨Understand Business Needs
Familiarise yourself with the company's business functions and how data supports them. Be ready to discuss how you can translate stakeholder requirements into technical solutions that drive actionable insights.
✨Prepare for Scenario-Based Questions
Anticipate scenario-based questions related to data validation and quality assurance. Think about past experiences where you ensured data accuracy and integrity, and be ready to explain your approach.
