Data Engineer - Informatica & Snowflake
Data Engineer - Informatica & Snowflake

Data Engineer - Informatica & Snowflake

London Full-Time 48000 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Design and maintain ETL pipelines using Informatica and Snowflake for data solutions.
  • Company: Join a leading IT firm focused on banking and financial services.
  • Benefits: Enjoy a fixed-term contract with potential extensions and opportunities for professional growth.
  • Why this job: Be part of a high-impact project that enhances your skills in a dynamic environment.
  • Qualifications: 5+ years of experience in data engineering, with expertise in Informatica and Snowflake required.
  • Other info: Ideal for those passionate about data integration and cloud technologies.

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 employer: Derisk360 Ltd

Join a forward-thinking company that values innovation and collaboration, offering a dynamic work culture where your contributions as a Data Engineer will directly impact high-stakes projects in the banking and financial services sector. With a commitment to employee growth, we provide extensive training opportunities and a supportive environment that encourages professional development, all while enjoying the benefits of working onshore in a vibrant location that fosters creativity and teamwork.
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Contact Detail:

Derisk360 Ltd Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Engineer - Informatica & Snowflake

✨Tip Number 1

Familiarise yourself with the latest features and updates in Informatica and Snowflake. Being well-versed in the tools will not only boost your confidence during interviews but also demonstrate your commitment to staying current in the field.

✨Tip Number 2

Network with professionals in the banking and financial services sector. Attend industry meetups or webinars where you can connect with potential colleagues or hiring managers, as personal connections can often lead to job opportunities.

✨Tip Number 3

Prepare to discuss specific projects where you've successfully implemented ETL pipelines or data solutions. Be ready to share challenges you faced and how you overcame them, as this will showcase your problem-solving skills and practical experience.

✨Tip Number 4

Research StudySmarter's culture and values. Understanding our mission and how we operate will help you tailor your conversations during interviews, making it clear why you're a great fit for our team.

We think you need these skills to ace Data Engineer - Informatica & Snowflake

Informatica PowerCenter
ETL Development
Snowflake
Data Warehousing
Data Integration
SQL
Data Architecture
Performance Tuning
Data Governance
Data Security
Cloud Platforms (AWS, Azure, GCP)
Scripting (Python, Shell)
Analytical Skills
Problem-Solving Skills
Communication Skills

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 data solutions, especially in the BFSI domain.

Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about data engineering and how your skills align with the job requirements. Mention your experience in cloud data warehousing and any relevant certifications.

Showcase Relevant Projects: If you have worked on significant projects involving data integration or cloud platforms, summarise these in your application. Highlight your role, the technologies used, and the impact of your work.

Highlight Soft Skills: Don't forget to mention your communication and problem-solving skills. These are crucial for collaborating with teams and ensuring data integrity. Provide examples of how you've successfully worked in team settings.

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.

Data Engineer - Informatica & Snowflake
Derisk360 Ltd

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