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- Tasks: Develop and deploy scalable data pipelines and enhance AI platform integration.
- Company: Fast-growing tech consultancy focused on collaboration and innovation.
- Benefits: Flexible working arrangements, competitive pay, and opportunities for professional growth.
- Why this job: Join a mission-driven team making a real impact in the tech industry.
- Qualifications: Proficiency in SQL Server, Snowflake, AWS, C#, Python, and data orchestration tools.
- Other info: Dynamic environment with a focus on learning and career advancement.
The predicted salary is between 48000 - 72000 £ per year.
Would you like to be part of a fast-growing technology and engineering organisation that nurtures an open, collaborative learning environment? Are you passionate about technology, people and developing your coding skills? If this describes you, we’re trying to create the best engineering consultancy in the UK and would love for you to be part of the journey.
We recognise that great talent comes in many forms and welcome conversations about part-time or flexible working arrangements for this role. We draw on our reputation for outstanding delivery to allow our engineers to do the right thing for our clients. Our engineers take a holistic approach that addresses technology, process, and structure to make a lasting impact. We work collaboratively with users to create minimum viable products that are truly ready for use.
About the role
We are seeking a Contract, Senior Data Engineer to work with one of our Financial Services clients, focusing on developing robust data solutions.
Key responsibilities:
- Develop and deploy scalable data pipelines using SQL Server and Snowflake.
- Implement AWS infrastructure solutions with Terraform IaS, Kubernetes (K8s), and S3.
- Engage in data orchestration processes using systems like Dagster, Prefect, or Apache Airflow.
- Contribute to data product delivery, such as implementing data mesh concepts utilizing Snowflake.
- Enhance integration into AI platforms, including Snowflake Bedrock for RAG and Snowflake Cortex AI.
Role requirements:
- Strong proficiency in SQL Server, Snowflake, AWS infrastructure, C# and Python.
- Real-world experience in data product delivery.
- Familiarity with data orchestration tools such as Dagster, Prefect, or Airflow.
- An understanding of integrating data solutions with AI platforms is advantageous.
Credera is a global consulting firm that combines transformational consulting capabilities, deep industry knowledge, and AI and technology expertise to deliver valuable customer experiences and accelerated growth across a broad range of industries worldwide. Our one‑of‑a‑kind global boutique approach means we provide our clients with tailored solutions unique to their organisation that can scale due to our extensive footprint. As a values‑led organisation, our mission is to make an extraordinary impact on our clients, our people, and our community.
Data Engineer, 6 Month Contract employer: Credera
Contact Detail:
Credera Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer, 6 Month Contract
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving SQL Server, Snowflake, and AWS. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions related to data engineering and be ready to discuss your experience with tools like Dagster or Airflow.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Data Engineer, 6 Month Contract
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your proficiency in SQL Server, Snowflake, and AWS infrastructure, as these are key for us.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about technology and how your experience aligns with our mission. Show us your personality and enthusiasm for the role!
Showcase Your Projects: If you've worked on relevant data solutions or projects, don’t hesitate to include them. We love seeing real-world applications of your skills, especially with tools like Dagster or Airflow.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Credera
✨Know Your Tech Inside Out
Make sure you brush up on your SQL Server, Snowflake, and AWS skills before the interview. Be ready to discuss your real-world experience with these technologies and how you've used them to develop robust data solutions.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled challenges in data product delivery. Think about specific projects where you implemented data mesh concepts or integrated AI platforms, and be ready to explain your thought process.
✨Familiarise Yourself with Data Orchestration Tools
Since the role involves tools like Dagster, Prefect, or Apache Airflow, it’s a good idea to have a basic understanding of these systems. You might be asked how you would use them in a project, so having some practical examples can really set you apart.
✨Emphasise Collaboration and Learning
This company values a collaborative learning environment, so be prepared to discuss how you work with others. Share experiences where you’ve engaged with users to create minimum viable products and how you’ve contributed to a team’s success.
