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- Tasks: Develop and deploy scalable data pipelines and engage in data orchestration processes.
- 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 45000 - 63000 £ 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. We believe it is this approach that has allowed us to work with and transform the most influential brands and organisations in the world, from strategy through to execution.
Data Engineer, 6 Month Contract in London employer: Credera
Contact Detail:
Credera Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer, 6 Month Contract in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues 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 you a chance to demonstrate your expertise and makes you stand out during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills in C# and Python. Practice common data engineering problems and be ready to discuss your past experiences with data pipelines and orchestration tools.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our journey at StudySmarter.
We think you need these skills to ace Data Engineer, 6 Month Contract in London
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 any relevant data orchestration tools. We want to see how you can contribute to our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for technology and how your experience aligns with our values. Let us know why you're excited about the opportunity to work with us at StudySmarter.
Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them! Whether it's developing data pipelines or integrating AI platforms, we love seeing real-world examples of your work that demonstrate your capabilities.
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 the role. Plus, it shows you’re keen to join our journey!
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 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 orchestration tools like Dagster or Prefect, and be ready to explain your thought process.
✨Understand the Company’s Values
Familiarise yourself with Credera's mission and values. They’re looking for candidates who align with their approach to making an impact. Be prepared to discuss how your personal values resonate with theirs.
✨Ask Insightful Questions
Prepare thoughtful questions about the role and the company culture. This shows your genuine interest and helps you determine if it’s the right fit for you. Consider asking about their approach to integrating AI platforms with data solutions.
