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- Tasks: Join a remote team to ensure quality data for insights and manage diverse data sources.
- Company: Work with a large retailer committed to sustainability and innovation in data engineering.
- Benefits: Enjoy a salary up to £55,000 plus benefits and a fully remote work environment.
- Why this job: Perfect for those wanting to grow their skills in a supportive, forward-thinking company with great work/life balance.
- Qualifications: Strong Azure knowledge, SQL expertise, and experience in data modeling and pipeline building are essential.
- Other info: Opportunity to mentor junior team members and adapt to evolving business needs.
The predicted salary is between 33000 - 77000 £ per year.
Data EngineerFully remote workingSalary up to £55,000 per annum + BenefitsAn exciting new opportunity has arisen to join a large retailer, known for their sustainability ethos within a Data Engineer role. The company are based in the midlands and the position is FULLY REMOTE.Key responsibilities:Ensure quality data is ingested into the data warehouse to capture reliable and accurate insights.Manage a range of data sources and make sure the data platform for analytics is ingesting and structuring data correctly.Understand the structure and meaning of data in multiple internal and external data sources.Create logical and physical operational data stores, staging areas, dimensional models and analytical datasets.Design, develop and build unit tests, and deliver processes that extract data from sources, transform data to implement business logic Implement data cleansing activities in ETL and help define business rules to support data quality.Adapt ETL processes to accommodate changes in business requirements or source systems.Communicate with key stakeholders to understand requirements.Skills required:A strong understanding of Microsoft Azure (Data Factory, Azure Data Lake, Synapse, Databricks)A solid understanding of data concepts and data modelling principles, applied across traditional warehousing and modern data lakes.Experience of building Azure functions.A broad understanding of BI information exploitation methods including ad hoc queries, data mining techniques, data visualisation, real time intelligence and data explorationPractical experience of using Microsoft Azure Dev Ops and CI/CDExpert SQL knowledgeProficient in Python, PySparkThe ability and desire to mentor more junior members of the teamStrong communication skillsExperience of building data pipelines in Fabric is desirable but not essential.This is a great opportunity for a Data Engineer who is looking to upskill and progress within a forward-thinking organisation who offer a very healthy work/life balance.If you are interested, please apply for full details.
Data Engineer employer: Eden Smith Group
Contact Detail:
Eden Smith Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Familiarize yourself with Microsoft Azure services, especially Data Factory and Azure Data Lake. Having hands-on experience or projects showcasing your skills in these areas can set you apart during the interview process.
✨Tip Number 2
Brush up on your SQL and Python skills, as they are crucial for this role. Consider working on personal projects or contributing to open-source projects that involve data engineering to demonstrate your proficiency.
✨Tip Number 3
Prepare to discuss your experience with ETL processes and data cleansing activities. Be ready to provide examples of how you've adapted these processes to meet changing business requirements in previous roles.
✨Tip Number 4
Highlight any mentoring experience you have, as the ability to guide junior team members is a valued skill. Think of specific instances where you've helped others grow their skills or knowledge in data engineering.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and skills required for the Data Engineer position. Tailor your application to highlight your relevant experience with Microsoft Azure, SQL, and Python.
Highlight Relevant Experience: In your CV and cover letter, emphasize your practical experience with data ingestion, ETL processes, and data modeling principles. Provide specific examples of projects where you've successfully implemented these skills.
Showcase Communication Skills: Since the role involves communicating with key stakeholders, include examples in your application that demonstrate your strong communication skills and ability to work collaboratively within a team.
Tailor Your Application: Customize your cover letter to reflect your passion for sustainability and how it aligns with the company's ethos. Mention your desire to mentor junior team members, as this is a valued trait for the position.
How to prepare for a job interview at Eden Smith Group
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Microsoft Azure, especially Data Factory and Azure Data Lake. Highlight specific projects where you've successfully implemented data pipelines or ETL processes.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your ability to adapt ETL processes to changing business requirements. Share examples of challenges you've faced and how you overcame them, particularly in data cleansing and transformation.
✨Communicate Effectively
Since the role involves communicating with key stakeholders, practice articulating complex data concepts in simple terms. This will show your strong communication skills and your ability to collaborate with non-technical team members.
✨Prepare for Behavioral Questions
Be ready to discuss your mentoring experience and how you've supported junior team members. Companies value candidates who can contribute to team growth and knowledge sharing.
