At a Glance
- Tasks: Design and maintain ETL pipelines, manage data solutions, and ensure data integrity.
- Company: Join a leading IT firm focused on data analytics in the banking sector.
- Benefits: Enjoy a fixed-term contract with potential for extension and competitive pay.
- Why this job: Be part of a high-impact project that shapes the future of financial services.
- Qualifications: 5+ years in data engineering with expertise in Informatica and Snowflake required.
- Other info: Remote work options available; ideal for tech-savvy problem solvers.
The predicted salary is between 48000 - 72000 £ per year.
Job Title: Data Engineer – Informatica & Snowflake (Fixed-Term Contract | Onshore)
Job Type: Fixed-Term Contract (6/12 Months – Extendable)
Experience: 5+ Years
Industry: IT / Data & Analytics / BFSI Domain
About the Role:
We are looking for a skilled Data Engineer with proven expertise in Informatica and Snowflake to join a high-impact project in the banking and financial services domain. This fixed-term onshore opportunity is ideal for professionals with strong data integration, ETL development, and cloud data warehousing experience.
Key Responsibilities:
- Design, build, and maintain robust ETL pipelines using Informatica PowerCenter.
- Implement and manage data solutions using Snowflake for cloud data warehousing.
- Collaborate with business and technical teams to gather data requirements and translate them into scalable solutions.
- Ensure data integrity, consistency, and performance through effective pipeline design and tuning.
- Participate in code reviews, troubleshooting, and production support activities.
- Follow best practices for data governance, security, and compliance.
Key Skills & Qualifications:
- Minimum 5 years of hands-on experience in data engineering roles.
- Expertise in Informatica PowerCenter (ETL development and deployment).
- Strong working knowledge of Snowflake (data modeling, performance tuning, SQL).
- Solid understanding of data architecture, pipelines, and warehousing concepts.
- Experience in large-scale data environments, preferably within BFSI or enterprise domains.
- Excellent communication, analytical, and problem-solving skills.
Good to Have:
- Exposure to cloud platforms (AWS, Azure, GCP).
- Scripting knowledge (e.g., Python, Shell) for automation.
- Understanding of data security and compliance frameworks.
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Data Engineer - Informatica & Snowflake Copy employer: Derisk360 Ltd
Contact Detail:
Derisk360 Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Informatica & Snowflake Copy
✨Tip Number 1
Network with professionals in the banking and financial services sector. Attend industry meetups or webinars where you can connect with data engineers and recruiters who might have insights into our open positions.
✨Tip Number 2
Showcase your hands-on experience with Informatica and Snowflake by working on personal projects or contributing to open-source projects. This practical experience can set you apart during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your ETL development skills and understanding of cloud data warehousing concepts. Be ready to discuss specific challenges you've faced and how you solved them.
✨Tip Number 4
Familiarise yourself with data governance and compliance frameworks relevant to the BFSI domain. Being knowledgeable about these topics can demonstrate your commitment to best practices in data management.
We think you need these skills to ace Data Engineer - Informatica & Snowflake Copy
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Informatica and Snowflake. Include specific projects where you've designed ETL pipelines or managed cloud data warehousing solutions, especially in the BFSI domain.
Craft a Compelling Cover Letter: In your cover letter, emphasise your 5+ years of experience in data engineering. Discuss your expertise in data integration and how you can contribute to the company's high-impact projects.
Showcase Relevant Skills: Clearly list your technical skills related to the job description, such as ETL development, data architecture, and any scripting knowledge. Mention your familiarity with cloud platforms if applicable.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial in data engineering roles.
How to prepare for a job interview at Derisk360 Ltd
✨Showcase Your Technical Skills
Be prepared to discuss your hands-on experience with Informatica and Snowflake in detail. Highlight specific projects where you designed ETL pipelines or managed data solutions, as this will demonstrate your expertise and relevance to the role.
✨Understand the BFSI Domain
Since the role is within the banking and financial services industry, brush up on industry-specific challenges and data governance practices. Showing that you understand the nuances of this domain can set you apart from other candidates.
✨Prepare for Problem-Solving Questions
Expect to face scenario-based questions that assess your analytical and problem-solving skills. Think of examples from your past experiences where you successfully troubleshot issues or optimised data pipelines, and be ready to explain your thought process.
✨Communicate Effectively
Strong communication skills are essential for collaborating with both technical and business teams. Practice articulating complex technical concepts in a way that non-technical stakeholders can understand, as this will showcase your ability to bridge the gap between teams.