At a Glance
- Tasks: Build and maintain DBT models for impactful analytics in the financial sector.
- Company: Join CI&T, a global leader in tech transformation with 30 years of experience.
- Benefits: Competitive pay, flexible work environment, and opportunities for professional growth.
- Other info: Diverse and inclusive workplace encouraging applications from all backgrounds.
- Why this job: Make a real impact by transforming data into actionable insights with cutting-edge technology.
- Qualifications: Strong DBT, SQL, and Snowflake skills; experience in data modelling and analytics.
The predicted salary is between 50000 - 60000 £ per year.
At CI&T, we help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions. With 30 years of experience in technological transformation, we accelerate innovation with expertise in Agentic SDLC, Application modernization, Data & AI, Martech and Business strategy. We are 8,000 CI&Ters across more than 25 countries, collaborating to build solutions with real impact. AI is already part of how we work, evolve, and innovate every day.
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.
In this role you'll:
- 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
We need someone with these skills:
- Strong hands‑on experience with DBT
- Strong SQL and Snowflake experience
- Experience building facts, dimensions, marts and analytics‑ready data models
- Strong understanding of data modelling and metric design
- Experience implementing dbt tests, source freshness checks and data quality validations
- Ability to translate business requirements into trusted data models
- Experience working with analysts, product teams and business stakeholders
- Good documentation skills for model logic, metric definitions and lineage
- Experience working in modern data stack environments
We value diverse identities and life experiences, fostering a diverse, inclusive, and safe work environment. We encourage applications from diverse and underrepresented groups to our job positions.
[29868] - Data Analytics Engineer - DBT Modelling (Contract) employer: Ciandt
At CI&T, we pride ourselves on being an exceptional employer that champions innovation and collaboration in the tech industry. Our inclusive work culture fosters diversity and encourages personal and professional growth, providing employees with opportunities to engage in meaningful projects that drive real business impact. With a global presence and a commitment to leveraging AI for transformative solutions, joining our team means being part of a dynamic environment where your contributions are valued and your career can flourish.
StudySmarter Expert Advice🤫
We think this is how you could land [29868] - Data Analytics Engineer - DBT Modelling (Contract)
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Ciandt before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Ciandt.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Ciandt.
We think you need these skills to ace [29868] - Data Analytics Engineer - DBT Modelling (Contract)
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Ciandt, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Ciandt, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Ciandt’s attention and show the tangible impact of your work.
How to prepare for a job interview at Ciandt
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Ciandt.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Ciandt.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Ciandt.
