At a Glance
- Tasks: Extract, transform, and analyse large data sets to drive actionable insights.
- Company: Join a forward-thinking company focused on strategic decision-making.
- Benefits: Competitive day rate, flexible contract, and opportunities for professional growth.
- Other info: Work 2-3 days onsite in Dudley, with excellent career advancement potential.
- Why this job: Make an impact on a Material Spend Project using cutting-edge data technologies.
- Qualifications: Strong skills in Python, PySpark, SQL, and ETL/ELT pipeline development.
We are seeking a highly skilled Data Engineer to support a Material Spend Project. You will play a crucial role in extracting, transforming, and analysing large data sets from multiple sources, including API integrations and ServiceNow, to drive actionable insights and support strategic decision-making.
Skills and experience required:
- Strong experience developing ETL/ELT pipelines using PySpark and Python
- Hands-on experience with Microsoft Fabric lakehouse or similar cloud data platforms (Azure Synapse Analytics, Databricks)
- Proficiency in working with Jupyter/Fabric Notebooks for data engineering workflows
- Solid understanding of data lakehouse architecture patterns and medallion architecture
- API Integration experience
- Experience working with Delta Lake or similar lakehouse storage formats
- Strong SQL skills for data manipulation, transformation, and quality validation
- Any previous experience within Manufacturing environments would be highly desirable
This is a role that will require 2/3 days per month onsite in Dudley, West Midlands. Please consider this when applying for the role.
If you are interested in the role and would like to apply, please click on the link for immediate consideration.
Data Engineer (Outside IR35) employer: TXP
Join a forward-thinking company that values innovation and collaboration, offering a dynamic work culture where your contributions as a Data Engineer will directly impact strategic decision-making. With competitive day rates and the flexibility of remote work complemented by occasional onsite engagement in Dudley, West Midlands, you will have ample opportunities for professional growth and development in a supportive environment that encourages continuous learning and skill enhancement.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer (Outside IR35)
✨Showcase Your Skills with a Public Portfolio
As a freelancer in data science, having a killer portfolio is essential. Showcase your projects on platforms like GitHub or create a personal website that details your work and techniques. This gives potential clients a clear picture of what you can do and helps you stand out from the competition.
✨Get Involved in Data Science Communities
Tap into online forums like Kaggle or Stack Overflow. Not only can you showcase your expertise, but you can also connect with other data scientists and potential clients. Plus, participating in competitions and discussions can elevate your profile in the field.
✨Leverage Local Networking Opportunities
Keep an eye out for local data science meetups or tech events in your area. These are golden opportunities to meet potential clients and collaborators face-to-face. Plus, who doesn't love a bit of networking over pizza and drinks?
✨Pitch Your Services Directly to Companies
Don't just wait for freelancing platforms to bring clients to you—be proactive! Research companies that could benefit from data science services and craft tailored pitches. Mention specific pain points you can address for them. Let’s get that freelance hustle going!
We think you need these skills to ace Data Engineer (Outside IR35)
Some tips for your application 🫡
Showcase Your Projects:When applying for a freelance data science role like Data Engineer (Outside IR35) at TXP, it’s crucial to highlight your projects. Include a portfolio that features at least two or three projects involving data analysis, machine learning, or visualisation. Make sure to describe the tools and methodologies you used, so we can see your skills in action!
Quantify Your Achievements:Freelance gigs, especially in data science, often ask for proven results. In your CV, include any relevant metrics or outcomes from your previous work. Did your analysis help reduce costs by a certain percentage? Or did your predictive model improve performance? Numbers speak volumes!
Introduce Your Style:Since freelancing is all about your individual style and approach, use your cover letter to share how you tackle data problems. This is your chance to let us know how you think, your creative problem-solving methods, and how you would approach a project at TXP.
Be Real About Your Rates:When you send in your application, don’t forget to mention your freelance rates and availability. We appreciate clarity up front, and it helps us gauge if you fit within our budget and timeline. Being transparent in this aspect shows professionalism and readiness!
How to prepare for a job interview at TXP
✨Show Off Your Data Wizardry
As a freelancer in data science, you'll want to present a portfolio that showcases your best projects. We should pull together examples where you tackled real problems with data analytics, machine learning models, or visualisations. It's all about demonstrating your skills in action!
✨Be Ready to Dive Deep into Technical Questions
Expect to encounter some technical grilling during the interview. Prepare to discuss statistical methods, algorithms, or maybe even tackle a live coding challenge. We should brush up on tools like Python, R, or SQL—those are key players in the data science field. Don't just know them; be ready to explain your thought process!
✨Help Them Understand Your Work Style
Freelance gigs often mean you'll be working independently, so we need to convey our self-motivation and time management skills. Be prepared to talk about how you’ve handled multiple projects or met tight deadlines before. Sharing your approach to client communication can also give them confidence in your ability to deliver remotely.
✨Pitch Your Value Proposition
When freelancing, it’s crucial to clearly articulate what makes you unique. We should highlight not just technical skills but also the business impact of our projects. Think of a couple of stories where your data insights drove decision-making—this can be a game changer in showing why they should choose you for their freelance needs!
