Data Engineer

Data Engineer

West Bromwich Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: As a Data Engineer, you'll simplify and consolidate data sources into a modern data warehouse.
  • Company: Join a fantastic client focused on overhauling their service processes and upgrading their systems.
  • Benefits: Enjoy a competitive salary and the chance to work in a dynamic, hands-on environment.
  • Why this job: This role offers a unique opportunity to shape a cloud-based data platform and influence key business decisions.
  • Qualifications: Looking for someone with technical expertise in data engineering and a passion for problem-solving.
  • Other info: Work 2-3 days in-office at our Central Birmingham location for a collaborative experience.

The predicted salary is between 36000 - 60000 £ per year.

Job Description Role: Data Engineer Location: Birmingham (2-3 Days In-Office) Duration: 12 Month Fixed-Term Salary: £45,000 – £55,000 We are looking for an exceptional IT Project Manager to join a fantastic, long-term client who are undertaking a company-wide programme to overhaul and simplify their fundamental service processes, as well as upgrading their central, modularised application to deliver a more functional and flexible system for users at all levels. As a Data Engineer, you will oversee the simplification and consolidation of our clients data sources into a modern, scalable data warehouse. This opportunity will require you to be on-site at their Central Birmingham office, 3 days a week. Role Our client is in the initial stages of developing their cloud-based data warehouse, which is hosted on MS Azure and based on Snowflake. At this stage, the fundamental architecture has been identified and systems are beginning to communicate with one another, but with lots more to do, this is a lucrative opportunity to take control, design and deliver their data platform. This is a hands-on role, good for someone who likes a challenging environment and can provide their technical expertise to inform how data is used to inform key business decision-making. The successful candidate in this rol…

Data Engineer employer: Network IT Recruitment

Join a dynamic team in Birmingham where innovation meets collaboration! As a Data Engineer, you'll not only contribute to a transformative project but also enjoy a supportive work culture that prioritizes employee growth and development. With flexible in-office days and a competitive salary, this role offers a unique opportunity to shape the future of data management while working in a vibrant city known for its rich culture and community.
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Contact Detail:

Network IT Recruitment Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Engineer

Tip Number 1

Familiarize yourself with MS Azure and Snowflake, as these are key technologies for the role. Consider taking online courses or certifications to demonstrate your expertise in these platforms.

Tip Number 2

Network with professionals in the data engineering field, especially those who have experience with cloud-based data warehouses. Attend local meetups or online webinars to connect and learn from others.

Tip Number 3

Prepare to discuss your hands-on experience with data consolidation and warehouse design during the interview. Be ready to share specific examples of projects where you simplified data processes.

Tip Number 4

Research the company’s current data architecture and any recent news about their projects. This will help you tailor your conversation and show your genuine interest in their initiatives.

We think you need these skills to ace Data Engineer

Data Warehousing
MS Azure
Snowflake
ETL Processes
SQL
Data Modeling
Cloud Computing
Data Integration
Problem-Solving Skills
Programming Skills (Python, Java, or similar)
Data Pipeline Development
Communication Skills
Attention to Detail
Agile Methodologies

Some tips for your application 🫡

Understand the Role: Make sure to thoroughly read the job description for the Data Engineer position. Understand the key responsibilities and required skills, especially regarding cloud-based data warehousing and technologies like MS Azure and Snowflake.

Tailor Your CV: Customize your CV to highlight relevant experience and skills that align with the job requirements. Focus on your hands-on experience with data engineering, cloud technologies, and any projects that demonstrate your ability to simplify and consolidate data sources.

Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your understanding of the company's goals. Mention specific examples of how your expertise can contribute to their data platform development and decision-making processes.

Proofread Your Application: Before submitting your application, carefully proofread all documents for spelling and grammatical errors. A polished application reflects your attention to detail and professionalism, which are crucial in a technical role.

How to prepare for a job interview at Network IT Recruitment

Understand the Data Architecture

Make sure you have a solid grasp of data architecture concepts, especially related to cloud-based solutions like MS Azure and Snowflake. Be prepared to discuss how you would approach designing and implementing a scalable data warehouse.

Showcase Your Technical Skills

Be ready to demonstrate your technical expertise in data engineering. Prepare examples of past projects where you've successfully simplified and consolidated data sources, and be specific about the tools and technologies you used.

Emphasize Problem-Solving Abilities

This role requires someone who thrives in challenging environments. Share experiences where you've tackled complex data issues or improved processes, highlighting your analytical thinking and problem-solving skills.

Prepare Questions About the Project

Show your interest in the role by preparing insightful questions about the company's data initiatives. Ask about their current challenges with the data warehouse project and how they envision the role of a Data Engineer contributing to their goals.

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