Data Engineer

WTW
Reigate
2 months ago
Applications closed

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Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Overview

Are you ready to launch your career in data engineering and work with the latest Microsoft technologies? If you are passionate about data, eager to learn and want to make an impact across global teams, this opportunity is for you. At WTW our Global Technology teams focus on delivering consistent, innovative and reliable technology solutions worldwide. As a Junior Data Engineer you will join the Solution Engineering team — a diverse group of technologists — helping to build and support solutions that drive data initiatives across the organization. You’ll work closely with other Data Engineers, Data Analysts and technology stakeholders to develop, deliver and maintain data solutions using Microsoft Fabric. This is a great entry point to build hands-on skills with modern data platforms, cloud services and DevOps practices while learning from experienced colleagues.


Responsibilities

  • Collaborate with technology and business teams to understand requirements and turn them into actionable tasks.
  • Support the development and maintenance of notebooks, data pipelines and datasets using Microsoft Fabric with Lakehouses and Eventhouses.
  • Assist in building and optimizing data models for reporting, analytics and data-driven projects.
  • Help implement and document best practices in data engineering, security and data quality.
  • Contribute to the integration of data from a variety of sources, both on-premise and cloud-based.
  • Learn and apply DevOps concepts such as version control, CI/CD and automation as part of the data engineering lifecycle.
  • Participate in troubleshooting and resolving issues related to data processes and data quality.
  • Document processes and solutions clearly for knowledge sharing and operational support.
  • Document solution decisions and assist with operational procedures for transparency and knowledge sharing.

Qualifications

The Requirements:



  • Bachelors degree in Computer Science, Engineering, Math or related field (or equivalent practical experience).
  • Some experience with data engineering, software development, analytics or IT projects (internships, classwork or personal projects).
  • Familiarity with Microsoft Azure and Microsoft Fabric (Data Factory, Synapse, Power BI, etc.) is a plus.
  • Understanding of basic concepts in databases, data integration or ETL/ELT pipelines.
  • Experience (even basic) with at least one programming language (e.g., Python, SQL, KQL).
  • Willingness to learn about cloud data architectures, automation and best practices.
  • Good communication and teamwork skills.

Soft Skills:



  • Problem-solving and analytical thinking.
  • Eagerness to learn and ask questions.
  • Collaborative and proactive attitude.
  • Strong attention to detail and documentation.
  • Ability to adapt to feedback and new technologies.
  • Passion for delivering value and continuous improvement.

Benefits - GB

Enjoy a benefits package designed to help you thrive both professionally and personally. You’ll receive 25 days of annual leave plus an extra WTW day to relax and recharge. Our comprehensive health and wellbeing offering includes private healthcare, life insurance, group income protection and regular health assessments—all giving you peace of mind. Secure your future with our defined contribution pension scheme featuring matched contributions up to 10% from the company.


We support your growth and balance with hybrid working options, access to an employee assistance programme and a fully paid volunteer day to make a difference in your community. On top of these you can opt into a variety of additional perks including an electric vehicle car scheme, share scheme, cycle-to-work programme, dental and optical cover, critical illness protection and more. Start making the most of your career and wellbeing with a range of benefits tailored for you.


Equal Opportunity Employer

At WTW we believe difference makes us stronger. We want our workforce to reflect the different and varied markets we operate in and to build a culture of inclusivity that makes colleagues feel welcome, valued and empowered to bring their whole selves to work every day. We are an equal opportunity employer committed to fostering an inclusive work environment throughout our organization. We embrace all types of diversity. At WTW we trust you to know your work and the people, tools and environment you need to be successful. The majority of our colleagues work in a hybrid style with a mix of remote, in-person and in-office interactions dependent on the needs of the team, role and clients. Our flexibility is rooted in trust and hybrid is not a one-size-fits-all solution. We’re committed to equal employment opportunity and provide application, interview and workplace adjustments and accommodations to all applicants. If you foresee any barriers from the application process through to joining WTW please email


Miscellaneous

Required Experience: IC


Key Skills: Apache Hive, S3, Hadoop, Redshift, Spark, AWS, Apache Pig, NoSQL, Big Data, Data Warehouse, Kafka, Scala


Employment Type : Full-Time


Experience: years


Vacancy: 1


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