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For Companies At a Glance
- Tasks: Transform raw data into insights and optimise data infrastructure.
- Company: Join a dynamic team focused on innovative data solutions.
- Benefits: Enjoy remote work flexibility and a collaborative environment.
- Why this job: Make a real impact by supporting business functions with data-driven decisions.
- Qualifications: 6 years of experience in Azure SQL and ETL required.
- Other info: Contract duration is 6 months, fully remote within the UK.
The predicted salary is between 43200 - 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 discussions.
✨Tip Number 2
Brush up on your SQL skills, especially complex queries. Practice writing and optimising SQL queries for various scenarios, as being able to demonstrate your proficiency in real-time will impress potential employers.
✨Tip Number 3
Network with professionals in the data engineering field. Join relevant online communities or forums where you can share knowledge and learn from others, which may lead to valuable connections and job opportunities.
✨Tip Number 4
Prepare to discuss your previous projects and experiences in detail. Be ready to explain how you've tackled challenges in data transformation and ETL processes, as this will showcase your problem-solving abilities and expertise.
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 job requirements. 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 (like Snowflake), and the impact of your work on the business outcomes.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial in data engineering roles.
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.
✨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 translate data requirements into effective technical solutions.
✨Emphasise Collaboration Skills
Since the role involves working with various stakeholders, be sure to share examples of successful collaborations. Discuss how you gather requirements and ensure that all parties are aligned on data projects.
