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For Companies At a Glance
- Tasks: Design and optimise data pipelines, troubleshoot workflows, and collaborate with experts.
- Company: Join WTW, a leader in Corporate Risk and Broking, focused on innovative data solutions.
- Benefits: Enjoy a competitive salary, flexible work environment, and opportunities for career growth.
- Why this job: Be part of a collaborative team using cutting-edge cloud and AI technologies to make an impact.
- Qualifications: 1+ years in Data Engineering, programming skills in C# or Python, and strong problem-solving abilities.
- Other info: We value diversity and inclusivity, welcoming all backgrounds to apply.
The predicted salary is between 28800 - 43200 £ per year.
Who We Are Looking For
Are you passionate about solving complex data challenges and developing innovative cloud-based data solutions? Do you enjoy applying logical thinking to technical problems, and take satisfaction in seeing your solutions make a tangible impact?
We are seeking a Junior Data Engineer who is eager to learn, grow, and contribute to the way we move, store, and process data within our Corporate Risk and Broking (CRB) business. Whether you have experience with cloud platforms such as Azure, Google Cloud, or AWS, or you’re just starting out, what matters most is your curiosity, motivation, and willingness to learn.
If you’re someone who thrives in a fast-paced, collaborative environment, and you’re keen to develop your skills in modern data engineering practices, we’d love to hear from you.
The Role
- Designing, building, and optimizing data pipelines using Azure Synapse, Azure Data Factory, and Azure Fabric.
- Writing and fine-tuning PySpark notebooks to handle massive data workloads efficiently.
- Troubleshooting and enhancing ETL/ELT workflows in Azure Synapse.
- Managing and organizing Data Lakes to ensure seamless data access and performance.
- Integrating AI/LLM models into data pipelines to drive innovation and insights.
- Collaborating with Data Scientists, AI Engineers, Data Analysts, and Business domain experts to create powerful data-driven solutions.
- Participating and assisting with data security, governance, and compliance within our Azure ecosystem.
- Staying ahead of the curve with emerging cloud, AI, and big data technologies.
The Requirements
- 1+ years of experience in Data Engineering, with competency in Cloud Data Tools.
- Solid programming skills in a language like C# or Python.
- Understanding of data warehousing, modeling, and basic data architecture either through experience or education
- Strong problem-solving skills and a knack for debugging tricky data issues.
- Excitement of working with data and the business outcomes from data.
- Massive curiosity of how things work and are built.
- Great communication skills and a team-player attitude.
Bonus Points If You Have
- Certifications in Azure Data Engineer Associate or Azure Solutions Architect.
- Experience with real-time streaming solutions like Azure Stream Analytics, Kafka, or Event Hubs.
- Familiarity with Databricks and its integration with Azure Synapse.
- Knowledge of Graph Databases and NoSQL technologies.
- Knowledge of AI/LALM applications and how they connect with data pipelines
- Experience with CI/CD pipelines, DevOps, and Infrastructure as Code (IaC).
Why You’ll Love Working Here
- Work with the latest cloud and AI technologies, always stay ahead of the game.
- Mentoring and coaching through your journey will be all around you due to the many team members you will interact with
- Be part of a collaborative and forward-thinking team that values your ideas.
- Competitive salary, benefits, and plenty of opportunities to grow your career.
- A flexible, modern work environment designed for how people work today.
We’re not just looking for someone to check off the skills list, we want a problem solver, an innovator, and someone who loves working with data.
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 organisation. We embrace all types of diversity.
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Junior Data Engineer employer: WTW
Contact Detail:
WTW Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Data Engineer
✨Tip Number 1
Familiarise yourself with Azure tools like Azure Synapse and Azure Data Factory. Understanding how these platforms work will not only help you in interviews but also show your genuine interest in the role.
✨Tip Number 2
Engage with online communities or forums related to data engineering and cloud technologies. Networking with professionals in the field can provide insights and potentially lead to referrals.
✨Tip Number 3
Consider working on personal projects that involve data pipelines or cloud solutions. This hands-on experience can be a great talking point during interviews and demonstrates your initiative.
✨Tip Number 4
Stay updated on the latest trends in AI and big data technologies. Being knowledgeable about emerging tools and practices will set you apart as a candidate who is eager to learn and grow.
We think you need these skills to ace Junior Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, cloud platforms, and programming languages like Python or C#. Emphasise any projects or coursework that demonstrate your problem-solving skills and curiosity about data.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data engineering and your eagerness to learn. Mention specific technologies mentioned in the job description, such as Azure Synapse or PySpark, and explain how your background aligns with the role.
Showcase Your Projects: If you have worked on any relevant projects, whether in a professional setting or as part of your studies, include them in your application. Describe your role, the technologies used, and the impact of your work on data solutions.
Highlight Soft Skills: The company values communication and teamwork. Make sure to include examples of how you've collaborated with others or solved problems in a team setting. This will show that you are not only technically capable but also a great fit for their collaborative environment.
How to prepare for a job interview at WTW
✨Show Your Curiosity
Demonstrate your eagerness to learn by asking insightful questions about the company's data challenges and the technologies they use. This shows that you're not just interested in the job, but also in growing your skills and understanding the bigger picture.
✨Highlight Relevant Experience
Even if you have limited experience, be sure to discuss any projects or coursework related to data engineering, cloud platforms, or programming languages like Python or C#. This will help the interviewers see your potential and how you can contribute to their team.
✨Emphasise Problem-Solving Skills
Prepare examples of how you've tackled complex problems in the past, especially those related to data. Discuss your thought process and the steps you took to arrive at a solution, as this aligns with what they're looking for in a Junior Data Engineer.
✨Be a Team Player
Since collaboration is key in this role, share experiences where you've worked effectively in a team. Highlight your communication skills and how you value input from others, which will resonate well with their emphasis on teamwork.
