Data Engineer

TEAM Inc.; Liverpool; Hybrid; GBP 40,000 - 68,000; Full time

Job summary

A leading consultancy firm is looking for a skilled Data Engineer to join their team in Liverpool. The role involves developing data pipelines using Azure Data Factory, ensuring data quality, and collaborating with cross-functional teams. Ideal candidates should have solid experience in SQL and Python, with a strong understanding of Azure technologies. The position offers a competitive salary ranging from £40,000 to £68,000, flexible working arrangements, and a supportive team culture.

Benefits

Flexible and remote working

Health and wellbeing support

Training and development opportunities

Dog-friendly offices

Qualifications

• Solid experience in Azure, specifically Azure Databricks and Azure SQL.
• Proficiency in SQL and Python.
• Hands-on experience designing and building data pipelines using Azure Data Factory.
• Knowledge of Azure Storage and data formats such as JSON, CSV, and Parquet.

Responsibilities

• Develop and maintain data pipelines using Azure Data Factory.
• Utilize SQL and Python to extract, transform, and load data.
• Ensure data quality, integrity, and security throughout the data pipeline.
• Troubleshoot and resolve issues in the data pipelines.

Skills

SQL

Python

Azure Data Factory

Data Modelling

Collaboration

Tools

Azure Databricks

Azure SQL

Apache Airflow

DBT

Job description

Overview

We're on the hunt for builders. Not in construction, but a designer and builder of systems for all things data related, helping us conquer the Data World. We offer projects spanning telecoms, insurance, finance and mortgages across a variety of sectors. We seek strong Consultants who can act as experts in their field in support of our clients and their challenges in data and technology. We are seeking a skilled Data Engineer to join our team, ideally initially on a contract basis, with potential for longer term permanent opportunities. We can move fast and adapt our selection period to our needs. Immediate or quick availability is ideal, alongside permanent rights to work as essential. This is a typical Data Engineering role in which you will ingest large data sets for our clients, designing data pipelines, data integration and transforming data into models for downstream consumption. Key outputs for the role.

Responsibilities

• Develop and maintain data pipelines using Azure Data Factory (ADF), ensuring efficient and reliable data movement and transformation.
• Data Modelling using Kimball, 3NF or Dimensional methodologies.
• Utilize SQL and Python to extract, transform, and load data from various sources into Azure Databricks and Azure SQL / SQL Server.
• Design and implement metadata driven pipelines to automate data processing tasks.
• Collaborate with cross-functional teams to understand data requirements and implement appropriate solutions.
• Ensure data quality, integrity, and security throughout the data pipeline.
• Troubleshoot and resolve issues or errors in the data pipelines.
• Stay updated with the latest Azure technologies and industry best practices to continuously enhance data engineering capabilities.
• Possibly specialise in Analytics Engineering with experience within BigQuery (GCP), data modelling in DBT, and mobile/telecoms industry experience would be beneficial.

Qualifications

• Solid experience in Azure, specifically Azure Databricks and Azure SQL / SQL Server.
• Proficiency in SQL and Python.
• Hands‑on experience designing and building data pipelines using Azure Data Factory (ADF).
• Familiarity with building metadata‑driven pipelines.
• Knowledge of Azure Storage, Medallion Architecture, and data formats such as JSON, CSV, and Parquet.
• Strong understanding of IT concepts, including security, IAM, Key Vault, and networking.
• Exposure to Apache Airflow and DBT is a bonus.
• Familiarity with agile principles and practices.
• Experience with Azure DevOps pipelines.

Nice to Haves

• Certification in Azure or related technologies.
• Experience with other cloud platforms (e.g., AWS, Google Cloud).
• Knowledge of big data technologies.
• Familiarity with data governance and compliance frameworks.

Your Characteristics as a Consultant

• Driven by delivering quality work, with a great eye for detail.
• Takes accountability and ownership of tasks, and finds the best way to solve problems.
• Excellent communicator who can explain complex ideas to audiences of differing seniority and technical ability.
• Ability to quickly understand client context and demonstrate expertise in their business.
• Relationship builder capable of motivating and engaging to build trust with clients and colleagues.
• An interest in industry trends, emerging technologies, and client’s businesses.
• Ability to take the lead and drive initiatives independently.

The Team

We're Intuita – a fast growing consultancy that's making waves in both the consultancy and technology space. With ambitious goals for 2025 and beyond, we are looking for talented individuals to complement the team of experts across our business, becoming a pivotal part of our journey to continuously exceed client expectations.

What's in it for you?

• Salary: £40,000 – £68,000 per annum DOE or contractor day rates. Outside IR35 can be discussed for experienced engineers with good availability.
• Flexible and remote working – we don't mind when, where or how you work; you are trusted to work in the way that suits you best.
• Health and wellbeing support – free therapy sessions, financial education, birthday treats and more.
• Training and development – opportunities to learn and grow within the business.
• Autonomy and empowerment – consultants are encouraged to own problems and explore new ideas.
• Supportive team – we work hard and enjoy time together, whether in‑person or via Slack.
• Dog‑friendly offices – we're a team of dog lovers.
• Longer‑term, permanent hires attract additional benefits and a welcoming environment to develop and thrive.