At a Glance
- Tasks: Join a project to build and maintain DBT models for analytics in finance.
- Company: Dynamic financial services firm focused on innovative data solutions.
- Benefits: Flexible contract, competitive pay, and the chance to work with cutting-edge technology.
- Other info: Collaborate with diverse teams in a fast-paced, modern data environment.
- Why this job: Make an impact by creating trusted analytics-ready datasets that drive business decisions.
- Qualifications: Experience with DBT, SQL, and building data models; strong documentation skills.
The predicted salary is between 50000 - 60000 £ per year.
We’re looking for a contractor to join us on a 6 month basis to help with a project in the financial services sector focussing on their DBT Modelling, cross-domain data products and trusted analytics-ready datasets.
- Build and maintain DBT models for cross-domain analytics use cases.
- Create reusable facts, dimensions and marts for analytics consumption.
- Support cross-domain data products such as Churn, LTV, Segmentation and Customer Intelligence.
- Implement dbt tests, source freshness checks and reconciliation logic.
- Translate business requirements into data models and metric logic.
- Support data quality checks and model validation.
- Document model definitions, business rules, assumptions and lineage.
- Work closely with analytics and domain teams to ensure datasets are fit for reporting and decisioning.
Qualifications
- Experience implementing dbt tests, source freshness checks and data quality validations.
- Experience building facts, dimensions, marts and analytics-ready data models.
- Strong SQL and Snowflake experience.
- Good documentation skills for model logic, metric definitions and lineage.
- Experience working with analysts, product teams and business stakeholders.
- Ability to translate business requirements into trusted data models.
- Strong hands‑on experience with DBT.
- Experience working in modern data stack environments.
- Strong understanding of data modelling and metric design.
Data Analytics Engineer (DBT Modelling) employer: Ci&T
Join a forward-thinking company that values innovation and collaboration in the financial services sector. As a Data Analytics Engineer, you'll benefit from a dynamic work culture that prioritises employee growth and development, offering opportunities to enhance your skills in DBT modelling and analytics. With a focus on meaningful projects and a supportive team environment, this role provides a unique chance to make a significant impact while enjoying the advantages of working in a vibrant location.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analytics Engineer (DBT Modelling)
✨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 Analytics Engineer (DBT Modelling)
Some tips for your application 🫡
Showcase Your Projects:When applying for a freelance data science role like Data Analytics Engineer (DBT Modelling) at Ci&T, 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 Ci&T.
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 Ci&T
✨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!
