Data Engineer

Data Engineer

Full-Time 28800 - 48000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Develop and optimise data infrastructure using T-SQL and Python.
  • Company: Join the Mick George Group, a leading supplier in the construction industry.
  • Benefits: Enjoy 28 days holiday, company pension, and career development opportunities.
  • Why this job: Make a real impact in a fast-paced environment focused on data solutions.
  • Qualifications: Experience in T-SQL, Python, and SQL Database Administration required.
  • Other info: Dynamic team culture with a commitment to equality and diversity.

The predicted salary is between 28800 - 48000 £ per year.

Here at the Mick George Group, we are currently recruiting a Data Engineer (T-SQL, Python) to join the Technology department.

Location: Mick George Head Office - Huntingdon

Working Hours: Monday – Friday 8am – 5pm

Pay: To be discussed during interview.

Benefits: Company Pension, Employee Assistance Programme, 28-Days holiday inclusive of bank holidays, Company benefit platform, Cycle to work scheme, Internal training and Career development.

Who is Mick George?

One Man, One Tipper, One dream, may seem a distant memory, but the dream is very much a reality, as we find ourselves approaching 40 years since the business started trading. Now operating over 600 HGV vehicles from over 40 separate sites, employing more than 1,000 local people, gives an indication of the scale to which the business has evolved over the years and explains why the Mick George Group has grown to become one of the leading suppliers to the Construction Industry in the heart of East Anglia and East Midlands.

Our aim is to ensure that we provide the highest possible standards to each and every stakeholder that comes in to contact with any aspect of our business, whether that be as an employee, supplier, customer or other.

Role Purpose

As part of our continued growth, we are seeking a Data Engineer with expertise in T-SQL, Python, and some SQL Database Administration (DBA) to join our dynamic team. You will play a pivotal role in the reporting, design, development, and optimisation of our data infrastructure. You will be responsible for managing and reporting on our databases, building robust data pipelines, and ensuring the integrity and performance of critical systems and data warehouses. This is an excellent opportunity for someone who is passionate about data and wants to work in a fast-paced environment where they can make a big impact.

Responsibilities:

  • Develop, optimise, and maintain complex T-SQL queries, stored procedures, and functions.
  • Design and implement efficient data pipelines.
  • Support with maintaining Microsoft SSRS and PowerBI reporting.
  • Support in the management of SQL Server databases, including installation, configuration, upgrades, and performance tuning.
  • Support in monitoring database health and if necessary, troubleshoot performance issues.
  • Ensure data quality, normalisation, security, and compliance with internal and external standards.
  • Collaborate with and aid Business Stakeholders in the delivery of efficient data solutions.
  • Assist in developing best practices and standards for data engineering.
  • Adhoc tasks within the department as required.

Key Skills:

  • T-SQL and SQL Server (2016 or later preferred).
  • Python for scripting, data processing, and automation.
  • Experience of SQL Database Administrator.
  • Experience of SSIS ETL concepts and data warehouse design principles.
  • Experience of Microsoft SSRS and PowerBI (or similar Reporting Technology).
  • Understanding of Datawarehouse Principles.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication skills and the ability to work collaboratively in a team environment.
  • Awareness of source control systems such as Git.
  • Exposure to cloud services (e.g., Azure) & DevOps principles.

The Mick George Group is committed to providing equality of opportunity for all. The company seeks to employ a workforce that reflects the diverse community at large and values the individual's contribution irrespective of sex, age, marital status, disability, sexual orientation, gender reassignment, race, colour, religion or belief, ethnic or national origin.

Data Engineer employer: Mick George

At Mick George Group, we pride ourselves on being an excellent employer, offering a supportive work culture that fosters employee growth and development. Located in Huntingdon, our head office provides a dynamic environment where Data Engineers can thrive, with benefits such as a company pension, 28 days of holiday, and opportunities for internal training. Join us to make a meaningful impact in the construction industry while enjoying a range of employee benefits and a commitment to equality and diversity.
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Contact Detail:

Mick George Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Engineer

✨Tip Number 1

Network like a pro! Reach out to current employees at Mick George Group on LinkedIn. A friendly message can go a long way in getting your foot in the door and showing your genuine interest in the company.

✨Tip Number 2

Prepare for the interview by brushing up on T-SQL and Python. We recommend doing some mock interviews with friends or using online platforms to practice common data engineering questions. Confidence is key!

✨Tip Number 3

Showcase your projects! If you've worked on any data pipelines or reporting tools, make sure to discuss them during your interview. We love seeing real-world applications of your skills.

✨Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the Mick George Group family.

We think you need these skills to ace Data Engineer

T-SQL
SQL Server (2016 or later)
Python
SQL Database Administration
SSIS ETL concepts
Data warehouse design principles
Microsoft SSRS
PowerBI
Data quality assurance
Database performance tuning
Problem-Solving Skills
Attention to Detail
Communication Skills
Collaboration
Source control systems (e.g., Git)
Cloud services (e.g., Azure)
DevOps principles

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with T-SQL, Python, and any relevant database management skills. We want to see how your background aligns with what we're looking for!

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 you can contribute to our team. Keep it concise but impactful – we love a good story!

Showcase Your Projects: If you've worked on any projects involving data pipelines or reporting tools like SSRS or PowerBI, make sure to mention them. We’re keen to see real examples of your work and how you’ve tackled challenges in the past.

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining the Mick George Group!

How to prepare for a job interview at Mick George

✨Know Your Tech Inside Out

Make sure you brush up on your T-SQL and Python skills before the interview. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.

✨Showcase Your Problem-Solving Skills

Prepare examples that highlight your problem-solving abilities, especially in relation to database performance tuning or data pipeline optimisation. The interviewer will want to see how you approach challenges and find effective solutions.

✨Familiarise Yourself with Reporting Tools

Since the role involves Microsoft SSRS and PowerBI, it’s a good idea to have a solid understanding of these tools. Be prepared to discuss how you've used them in past roles to create reports or visualisations that helped stakeholders make informed decisions.

✨Communicate Clearly and Collaboratively

Strong communication is key in this role. Practice explaining complex technical concepts in simple terms, as you may need to collaborate with non-technical stakeholders. Show that you can work well in a team and value input from others.

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