Data Engineer

Data Engineer

Full-Time 45000 - 55000 £ / year (est.) Home office (partial)
Valorem Consulting

At a Glance

  • Tasks: Design and implement data solutions using Microsoft Azure technologies.
  • Company: Join a leading digital transformation consultancy focused on Microsoft Azure.
  • Benefits: Competitive salary, career progression, and a diverse workplace.
  • Other info: Mentorship opportunities and a dynamic environment for growth.
  • Why this job: Make an impact by simplifying cloud journeys for businesses.
  • Qualifications: Experience in data engineering with Azure and strong coding skills in Python, Scala, or SQL.

The predicted salary is between 45000 - 55000 £ per year.

Valorem Reply is the UK branch of the global Reply group, a leading Microsoft-focused digital transformation consultancy. We blend the agility of a local business with the resources of a global enterprise, specialising in Azure to simplify how businesses modernise their IT, data, and analytics. Our strapline "modernisation, simplified..." highlights our mission to make cloud journeys straightforward and effective.

Role Overview: As a Data Engineer, you will design, develop, and implement data solutions using Microsoft Azure technologies such as Azure Data Factory, Databricks, Synapse Analytics, and Data Lake Storage, working closely with clients and internal teams to deliver robust and accessible data solutions. You will mentor junior engineers, contribute to team growth, and have clear opportunities for career progression towards technical architecture and leadership roles. Strong communication skills, problem-solving abilities, and a proactive, collaborative approach are essential, as this is a customer-facing role. While experience with Logic Apps is beneficial and a background in Python, Scala, or SQL is preferred.

Responsibilities:

  • Design, develop, and maintain data pipelines using Azure Data Factory and Databricks.
  • Implement data models and analytics solutions using Synapse Analytics and Data Lake Storage.
  • Collaborate with clients to understand their data needs and provide tailored solutions.
  • Develop and optimise ETL/ELT processes to maintain data integrity and performance.
  • Ensure data solutions are scalable, resilient, and secure.
  • Troubleshoot and resolve data-related issues efficiently.
  • Document technical solutions and best practices.
  • Mentor junior engineers and contribute to team development.

About the Candidate:

  • Proven experience in data engineering with Microsoft Azure, including hands-on work with Azure Data Factory, Databricks, Synapse Analytics, and Data Lake Storage.
  • Strong development skills in Python, Scala, or SQL, with a solid understanding of data modelling and analytics solutions.
  • Excellent problem-solving and communication abilities, comfortable engaging directly with clients and stakeholders in a customer-facing role.
  • Self-motivated, able to work independently, and proactive in delivering high-quality solutions.
  • Experience with Logic Apps, integration tools, and familiarity with data frameworks like Snowflake, BigQuery, or Redshift is advantageous.
  • Knowledge of DevOps practices, CI/CD pipelines, Infrastructure as Code (e.g., Bicep, Terraform), and exposure to machine learning or AI solutions are beneficial.
  • Demonstrates a naturally curious mindset, embraces continuous learning, and is able to mentor and support junior engineers.
  • Opportunities exist for career progression into architectural and leadership roles within the consultancy.

Reply is an Equal Opportunities Employer and committed to embracing diversity in the workplace. We provide equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type regardless of age, sexual orientation, gender, identity, pregnancy, religion, nationality, ethnic origin, disability, medical history, skin colour, marital status or parental status or any other characteristic protected by the Law. Reply is committed to making sure that our selection methods are fair to everyone. To help you during the recruitment process, please let us know of any Reasonable Adjustments you may need.

Data Engineer employer: Valorem Consulting

Valorem Reply is an exceptional employer that combines the agility of a local business with the extensive resources of a global enterprise, making it an ideal place for Data Engineers to thrive. With a strong focus on employee growth, you will have clear pathways to advance into technical architecture and leadership roles while working in a collaborative and inclusive environment. Our commitment to diversity and equal opportunities ensures that every team member feels valued and empowered to contribute to meaningful projects in the dynamic field of digital transformation.
Valorem Consulting

Contact Detail:

Valorem Consulting Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Engineer

✨Network Like a Pro

Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works at Valorem Reply. Building relationships can open doors that a CV just can't.

✨Show Off Your Skills

When you get the chance to chat with potential employers, don’t hold back! Share your projects, especially those using Azure technologies like Data Factory or Databricks. Let them see what you can do in action!

✨Ask Smart Questions

During interviews or networking events, ask insightful questions about their data solutions or challenges they face. This shows you're genuinely interested and helps you stand out as a proactive candidate.

✨Apply Through Our Website

Don’t forget to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re keen on joining the team at Valorem Reply.

We think you need these skills to ace Data Engineer

Azure Data Factory
Databricks
Synapse Analytics
Data Lake Storage
Python
Scala
SQL
ETL/ELT Processes
Data Modelling
Problem-Solving Skills
Communication Skills
Mentoring
DevOps Practices
CI/CD Pipelines
Infrastructure as Code

Some tips for your application 🫡

Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Data Engineer role. Highlight your experience with Azure technologies like Data Factory and Databricks, and don’t forget to mention any relevant projects you've worked on!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how your background makes you a great fit for our team. Be sure to mention your problem-solving skills and customer-facing experience.

Showcase Your Technical Skills: When filling out your application, be specific about your technical skills. Mention your proficiency in Python, Scala, or SQL, and any experience with ETL/ELT processes. This will help us see how you can contribute to our projects right away!

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at StudySmarter!

How to prepare for a job interview at Valorem Consulting

✨Know Your Tech Stack

Make sure you’re well-versed in the Microsoft Azure technologies mentioned in the job description, like Azure Data Factory and Databricks. Brush up on your Python, Scala, or SQL skills, as these will likely come up during technical discussions.

✨Showcase Your Problem-Solving Skills

Prepare to discuss specific examples where you've tackled data-related challenges. Think about how you’ve optimised ETL processes or resolved data integrity issues, as this will demonstrate your hands-on experience and problem-solving abilities.

✨Communicate Effectively

Since this is a customer-facing role, practice articulating complex technical concepts in simple terms. Be ready to explain how you would collaborate with clients to understand their data needs and provide tailored solutions.

✨Emphasise Your Mentorship Experience

If you have experience mentoring junior engineers, be sure to highlight it. Discuss how you’ve contributed to team growth and development, as this aligns with the company’s focus on collaboration and leadership opportunities.

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