Data Engineer (Azure)

Data Engineer (Azure)

Surrey Full-Time 43200 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Join us as a Data Engineer to build and manage data solutions in the automotive industry.
  • Company: We're a cutting-edge company transforming the Automotive Industry with innovative data solutions.
  • Benefits: Enjoy flexible work options, competitive pay, and opportunities for professional growth.
  • Why this job: Be part of an exciting scale-up phase and make a real impact on data-driven decision making.
  • Qualifications: 6+ years in SQL Server and 3+ years in Azure solutions; strong data architecture skills required.
  • Other info: Collaborate with a dynamic team and work on diverse projects across various business areas.

The predicted salary is between 43200 - 72000 £ per year.

Job Description

Our client an exceptional start-up are looking for a Data Engineer to join their team on a permanent basis.

This will be a hybrid role with 1 day per week onsite.

The role:

The role of the Data Engineer is to deliver data products supporting a wide range of business demands. Working with the Data Architect, the data engineer will be responsible for the implementation and management of data solutions on our cloud infrastructure. The engineer will create and maintain data pipelines, manage storage solutions, undertake data processing, data modelling and enabling data to support effective decision making.

What they are looking for:

  • Proven experience in creating and managing data pipelines, integrating data sources, and performing ETL operations using ADF
  • Proficiency in Python with extensive experience in using PySpark for data processing, data manipulation, and building scalable data pipelines OR Strong coding skills in Scala, including experience with functional programming
  • Hands-on expertise with Databricks, particularly in managing data workflows
  • Experience in using Synapse for data analytics and data integration, as well as proficiency in SQL and other data tools
  • Solid experience in managing and organizing datasets in ADLS
  • Strong understanding in both batch and stream data processing
  • Azure DevOps knowledge
  • Strong understanding of RDBMS concepts

Data Engineer (Azure) employer: WSS Associates

Join a pioneering company at the forefront of the Automotive Industry, where as a Data Engineer, you will play a crucial role in shaping innovative data solutions within a dynamic scale-up environment. Our collaborative work culture fosters creativity and growth, offering ample opportunities for professional development while working with cutting-edge technologies on Microsoft Azure. Enjoy competitive benefits and the chance to make a meaningful impact in a rapidly evolving sector.
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Contact Detail:

WSS Associates Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Engineer (Azure)

✨Tip Number 1

Familiarize yourself with Azure services, especially Azure SQL, Data Lake, and Cosmos DB. Understanding these tools will not only help you in interviews but also demonstrate your readiness to hit the ground running.

✨Tip Number 2

Showcase your experience with ETL/ELT processes and data architecture. Be prepared to discuss specific projects where you've implemented these solutions, as this will highlight your practical knowledge.

✨Tip Number 3

Network with professionals in the automotive and data engineering fields. Engaging with industry peers can provide insights into the company culture and expectations, which can be beneficial during the interview process.

✨Tip Number 4

Stay updated on the latest trends in data management and cloud technologies. Being knowledgeable about current advancements will show your passion for the field and your commitment to continuous learning.

We think you need these skills to ace Data Engineer (Azure)

Data Pipeline Development
Azure SQL Management
Data Lake / One Lake Storage Management
COSMOS DB
Blob Storage
ETL/ELT Implementation
Data Modelling
Data Integration
Data Architecture Documentation
SQL Server Solutions
Relational Data Structures
Data Mapping Tools
Data Profiling Tools
Change Data Capture (CDC)
Master Data Management
Analytical Solution Design
Client/User Interaction Skills
Cloud Cost Management
Data Processing Flowcharting Techniques
Hands-on Experience with Azure, AWS, SAP & Salesforce

Some tips for your application 🫡

Understand the Role: Make sure to thoroughly read the job description and understand the key responsibilities and requirements of the Data Engineer position. Tailor your application to highlight relevant experiences that align with these aspects.

Highlight Relevant Experience: In your CV and cover letter, emphasize your experience with Azure solutions, SQL Server, and data architecture. Provide specific examples of projects where you successfully implemented data pipelines or managed data storage solutions.

Showcase Technical Skills: Clearly list your technical skills related to data engineering, such as your proficiency in Azure SQL, Data Lake, and data modeling tools. Mention any hands-on experience with ETL/ELT processes and modern data structures.

Craft a Compelling Cover Letter: Write a cover letter that not only summarizes your qualifications but also expresses your enthusiasm for revolutionizing the automotive industry. Explain why you are excited about the opportunity to work with the company and how you can contribute to their goals.

How to prepare for a job interview at WSS Associates

✨Showcase Your Technical Skills

Be prepared to discuss your hands-on experience with Azure SQL, Data Lake, and other relevant tools. Highlight specific projects where you implemented data solutions and how they contributed to business objectives.

✨Understand the Business Context

Research the automotive industry and understand how data engineering plays a role in it. Be ready to discuss how your work can support various business areas like CRM, ERP, and Finance.

✨Demonstrate Problem-Solving Abilities

Prepare examples of how you've addressed data-related challenges in previous roles. Discuss your approach to systems integration and ensuring compatibility across multiple platforms.

✨Communicate Effectively

Since client interaction is key, practice explaining complex technical concepts in simple terms. Be ready to discuss how you gather requirements and collaborate with project managers and business leaders.

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