Data Engineer (T-SQL, Python)

The Mick George Group; Cambridgeshire and Peterborough; On-site; GBP 40,000 - 60,000; Full time

Job summary

A dynamic technology company is seeking a Data Engineer to join their team. The role involves developing and maintaining data pipelines, managing SQL Server databases, and ensuring data integrity. The ideal candidate will have expertise in T-SQL and Python with a keen focus on data solutions in a fast-paced environment. Opportunities for career development and training are also available.

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

Qualifications

• Expertise in T-SQL, Python, and SQL Database Administration.
• Experience with SSIS ETL and data warehouse design principles.
• Proficient in Microsoft SSRS and PowerBI reporting tools.

Responsibilities

• Develop and maintain complex T-SQL queries and data pipelines.
• Support SQL Server database management and performance tuning.
• Ensure data quality, security, and compliance with standards.

Skills

T-SQL and SQL Server

Python

SQL Database Administrator

SSIS ETL concepts

Microsoft SSRS and PowerBI

Datawarehouse Principles

Problem-solving skills

Communication skills

Source control systems (Git)

Cloud services (e.g., Azure)

Job description

Overview

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

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

Equality and Diversity

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.