Senior Data Engineer

MWH Treatment Limited; United Kingdom; Hybrid; GBP 50,000 - GBP 70,000; Full time

Job summary

A forward-thinking data solutions company in the UK is seeking a Senior Data Engineer to design, build, and maintain data pipelines and systems. The successful candidate will work in a 'greenfield' environment, contributing to the development of a transformative data function. Strong skills in Python and SQL are essential, along with experience in Azure and data pipeline frameworks. This role offers significant growth opportunities within an inclusive team environment.

Benefits

Growth Opportunities

Collaborative Culture

Innovative Environment

Qualifications

• Proven experience as a Data Engineer or similar role with strong understanding of data systems.
• Strong analytical and problem-solving skills.
• Meticulous in ensuring data accuracy, quality, and security.

Responsibilities

• Design, develop, and optimize ETL/ELT pipelines for data collection.
• Implement robust data models to support analytics needs.
• Assist in building scalable data platform architectures.

Skills

Python

SQL

Problem Solving

Collaboration

Education

Degree in a data-related subject

Tools

Azure

Apache Airflow

Tableau

Job description

Overview

We are looking to strengthen our Information Technology/Data team with a Senior Data Engineer or Data Engineer with hybrid working available. You will be instrumental in designing, building, and maintaining the data pipelines and systems that power our analytics and decision-making. Working under the guidance of the Head of Data, you will ensure that data is accessible, reliable, and secure, enabling the organization to harness its full potential. This is an opportunity to work in a "greenfield" environment and contribute to the creation of a cutting-edge data ecosystem from the ground up.

Key Responsibilities

• Data Pipeline Development: Design, develop, and optimize ETL/ELT pipelines to collect, transform, and load data from various sources into our data infrastructure.
• Data Modelling: Implement robust data models and schemas to support analytics, reporting, and other business needs.
• Infrastructure Management: Assist in building and maintaining scalable, secure, and efficient data platform architectures (e.g., data warehouses, data lakes).
• Data Quality Assurance: Implement processes and tools to monitor and ensure data quality, integrity, and consistency across systems.
• Collaboration: Work closely with the Head of Data, software engineers, and business stakeholders to understand data requirements and deliver effective solutions.
• Automation: Automate repetitive tasks and workflows to streamline data operations.
• Technology Integration: Evaluate and integrate new tools and technologies into the data stack to improve performance and scalability.

Why Join Us?

• Impact: Contribute to the creation of a transformative data function from the ground up.
• Innovation: Work in a forward-thinking company that values creativity and cutting-edge solutions.
• Growth Opportunities: Develop your skills and career as the data function scales.
• Collaboration: Be part of a supportive and driven team under the guidance of an experienced data leader.
• Culture: Be part of a company that fosters a collaborative and inclusive environment.

How to Apply

If you’re excited by the challenge of creating a data function from the ground up and making a lasting impact, we want to hear from you!

Qualifications

• Experience: Proven experience as a Data Engineer or in a similar role, with a strong understanding of data systems and architectures.
• Technical Skills: Proficiency in programming languages such as Python, SQL, or Scala.
• Experience with cloud platforms and data storage solutions, particularly Azure.
• Familiarity with data pipeline frameworks (e.g., Apache Airflow, dbt, Azure Data Factory) and distributed data systems (e.g., Spark, Hadoop, Azure Synapse).
• Hands-on experience with BI tools (e.g., Tableau, Power BI) is a plus.
• Problem Solving: Strong analytical and problem-solving skills, with the ability to troubleshoot complex technical issues.
• Attention to Detail: Meticulous in ensuring data accuracy, quality, and security.
• Team Player: Collaborative mindset, with the ability to work effectively in cross-functional teams and with offshore teammates.
• Communication: Strong communication skills to convey technical concepts to non-technical stakeholders.
• Education: Degree in a data-related subject (such as Computer Science, Data Science, Mathematics, Engineering) is preferable.