At a Glance
- Tasks: Support data-driven solutions and build efficient data pipelines using Microsoft Fabric.
- Company: Join Arcadis, a global leader in sustainable design and engineering.
- Benefits: Inclusive culture, career growth, and the chance to make a real impact.
- Other info: Embrace continuous improvement in a dynamic environment focused on equality and inclusion.
- Why this job: Be part of a diverse team solving complex challenges with innovative data solutions.
- Qualifications: Experience or knowledge in data engineering and familiarity with tools like SQL and Power BI.
The predicted salary is between 28000 - 35000 £ per year.
As an Arcadian, you help deliver world leading sustainable design, engineering, and consultancy solutions for natural and built assets. You are part of our global business comprising 34,000 people, in over 30 countries, dedicated to improving quality of life. Everyone has an important role to play. With the power of many curious minds, together we can continue to solve the world’s most complex challenges and deliver more impact together.
Arcadis is seeking a Junior Data Engineer to support the delivery of data‑driven solutions across major projects, programmes, and enterprise functions. Working as part of multidisciplinary teams, you will support the collection, assurance, transformation, and analysis of complex datasets to enable reporting, governance, and decision‑making. Using tools such as Microsoft Fabric, you will contribute to building reliable, efficient data pipelines and products.
Role Accountabilities
- Support the collection, ingestion, and transformation of data from multiple sources into structured data platforms.
- Develop and maintain data pipelines and workflows using tools such as Microsoft Fabric and associated technologies.
- Apply data assurance practices to ensure accuracy, completeness, and consistency of datasets.
- Support the analysis and preparation of data to enable reporting, dashboards, and programme governance.
- Identify opportunities to improve data performance through optimisation and automation.
- Embed considerations for data quality, information security, and cyber security within data solutions.
- Collaborate with analysts, engineers, and project teams to understand data requirements and resolve issues.
- Respond to stakeholder queries and support troubleshooting of data‑related issues.
- Maintain clear documentation of data processes and structures.
- Contribute to continuous improvement of data management practices and standards.
Qualifications & Experience
- Experience or knowledge of data engineering, data management, or analytical environments.
- Exposure to working with complex datasets within project, programme, or enterprise contexts.
- Understanding of data quality, data assurance, and structured data environments.
- Familiarity with data tools or platforms (e.g. Microsoft Fabric, Power BI, SQL, or equivalent).
- Training / Background in one or more of the following: Data engineering, data analytics, or computer science disciplines; Project, PMO, or project controls environments involving structured data and reporting; Digital or technology‑focused roles involving data processing or automation; OR equivalent demonstrable experience working with data in complex environments.
- Awareness of information security and cyber security principles in data handling.
- Strong analytical and problem‑solving skills.
- Ability to engage with stakeholders and communicate clearly to resolve data issues.
- Interest in automation, optimisation, and continuous improvement.
Our Commitment to Equality, Diversity, Inclusion & Belonging
We want you to be able to bring your best self to work every day which is why we take equality and inclusion seriously and hold ourselves to account for our actions. Our ambition is to be an employer of choice and provide a great place to work for all our people. We believe that by working together diverse people with different experiences develop the most innovative ideas. Equality, diversity and inclusion is at the heart of how we improve quality of life and we work closely with our people across six ED&I Workstreams: Age, Disability, Faith, Gender, LGBT+ and Race. A diverse and skilled workforce is essential to our success.
Junior Data Engineer in Manchester employer: Poutrix
Arcadis is an exceptional employer that fosters a collaborative and inclusive work culture, where every employee plays a vital role in delivering sustainable solutions for natural and built assets. With a commitment to equality, diversity, and continuous improvement, Arcadis offers robust opportunities for professional growth and development, empowering you to contribute to impactful projects while working alongside a global team of 34,000 dedicated professionals.
StudySmarter Expert Advice🤫
We think this is how you could land Junior Data Engineer in Manchester
✨Embrace Online Competitions
Get involved in online data science competitions like Kaggle or DrivenData. These platforms not only let you showcase your skills but also help you build a portfolio that stands out to hiring companies like Poutrix when you're aiming for that entry-level role.
✨Join Data Science Meetups
Look for local data science meetups or workshops happening in your area. These are perfect for connecting with industry professionals and fellow newbies, giving us the chance to learn the ropes and get our foot in the door at companies like Poutrix.
✨Networking Through University Career Services
Don't forget to leverage your university's career services! They often have exclusive internships and networking events specifically for entry-level data science positions. This is a golden opportunity to meet recruiters from companies like Poutrix.
✨Spotlight Your Skills Online
Create a strong online presence by sharing your projects and insights on platforms like GitHub or LinkedIn. Make sure to apply directly through Poutrix’s career page, where your unique skills can shine in their entry-level data science openings!
We think you need these skills to ace Junior Data Engineer in Manchester
Some tips for your application 🫡
Show Off Your Data Skills:As you're aiming for an entry-level data science role at Poutrix, don't forget to highlight your proficiency in programming languages like Python or R. Dive into your CV and mention any relevant projects or coursework that demonstrate your data analysis skills or machine learning knowledge.
Include Relevant Projects:If you've done any data-related projects, whether in your studies or during a personal quest, showcase them in a portfolio. This gives us a tangible sense of your capabilities and shows your hands-on experience with data manipulation, visualisation, or model building.
Tailor Your Cover Letter:When crafting your cover letter, make sure to express your enthusiasm for data science and how this role at Poutrix aligns with your career goals. Consider sharing why you’re drawn to data-driven decision-making and how you see yourself growing in this field.
Show Your Curiosity:In the data science world, curiosity is key! Mention any online courses or certifications you've pursued that complement your studies. This could be anything from a statistics certification to a data visualisation workshop. It shows us you're serious about learning and growing in this field.
How to prepare for a job interview at Poutrix
✨Brush Up on Your Statistics
For a data science role, the interview may involve some statistical questions or problems. Make sure you're comfortable with concepts like probability, distributions, and hypothesis testing. This will not only help you answer questions but also show your analytical thinking.
✨Get Hands-On with Tools
Familiarise yourself with popular data science tools like Python, R, and SQL. If you're asked about specific projects, be ready to discuss the tools you used and how they contributed to your analysis. Showing that you not only know the theory but can apply it is essential!
✨Showcase Relevant Projects
As an entry-level candidate, your portfolio is crucial. Bring along examples of data projects you've worked on, whether during your studies or personal projects. Discuss the challenges you faced and how you overcame them, highlighting your problem-solving skills.
✨Prepare for Case Studies
Entry-level interviews in data science often include case studies where you'll have to analyse a dataset or solve a problem on the spot. Try out some practice case studies beforehand, so you're not caught off guard. It's all about displaying your thought process and how you tackle data-driven challenges!
