Data Engineer - Python and Snowflake - London
Data Engineer - Python and Snowflake - London

Data Engineer - Python and Snowflake - London

London Full-Time 43200 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Design and implement data pipelines using Python and Snowflake, optimising for performance.
  • Company: Join Capgemini, a global leader in tech transformation with a diverse team of 350,000.
  • Benefits: Enjoy a collaborative work culture, career empowerment, and opportunities for remote work.
  • Why this job: Make a real impact by helping organisations unlock technology's value for a sustainable future.
  • Qualifications: Experience in Python, Snowflake, and data engineering; strong analytical and communication skills required.
  • Other info: Work in agile environments and collaborate with data scientists and analysts.

The predicted salary is between 43200 - 72000 £ per year.

Data Engineer – Python and Snowflake – London

Reference Code: 257274-en_USContract Type: PermanentProfessional Communities: Data & AI

Get The Future You Want!

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Your Role:

  • Design and implement robust data pipelines using Python and Snowflake.
  • Develop and maintain ETL/ELT workflows to support analytics and reporting needs.
  • Collaborate with data scientists, analysts, and business stakeholders to understand data requirements.
  • Optimize data models and queries for performance and scalability.
  • Ensure data quality, integrity, and security across all data processes.
  • Document technical solutions and maintain best practices in data engineering.

Your Profile:

  • Proven experience in Python programming for data engineering tasks.
  • Hands-on expertise with Snowflake, including data modeling, performance tuning, and SQL scripting.
  • Strong grasp of data warehousing concepts and cloud data platforms.
  • Proficient in using version control systems like Git.
  • Familiarity with CI/CD pipelines for streamlined development workflows.
  • Excellent analytical, problem-solving, and communication skills.
  • Exposure to domain-specific languages such as Slang.
  • Experience with orchestration tools like Apache Airflow or dbt.
  • Understanding of data governance and compliance standards.
  • Ability to work collaboratively in agile, fast-paced environments.

About Capgemini

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world while creating tangible impact for enterprises and society. It is a responsible and diverse group of 350,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market-leading capabilities in AI, cloud, and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.

Get The Future You Want |

Data Engineer - Python and Snowflake - London employer: Capgemini

Capgemini is an exceptional employer that empowers its employees to shape their careers within a supportive and collaborative community. Located in London, the company offers a dynamic work culture that fosters innovation and inclusivity, alongside ample opportunities for professional growth and development in the rapidly evolving fields of data and AI. With a commitment to sustainability and a diverse workforce, Capgemini stands out as a place where you can make a meaningful impact while advancing your career.
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Contact Detail:

Capgemini Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Engineer - Python and Snowflake - London

✨Tip Number 1

Familiarise yourself with the latest features and updates in Python and Snowflake. Being able to discuss recent advancements or how you've applied new functionalities in your projects can set you apart during interviews.

✨Tip Number 2

Network with current Data Engineers or professionals in the field through platforms like LinkedIn. Engaging in conversations about their experiences at Capgemini can provide valuable insights and potentially lead to referrals.

✨Tip Number 3

Prepare to showcase your problem-solving skills by working on real-world data engineering challenges. Having a portfolio of projects that demonstrate your ability to design data pipelines and optimise queries will impress potential employers.

✨Tip Number 4

Stay updated on data governance and compliance standards relevant to the industry. Being knowledgeable about these topics will not only help you in interviews but also show your commitment to maintaining data integrity and security.

We think you need these skills to ace Data Engineer - Python and Snowflake - London

Python Programming
Snowflake Expertise
ETL/ELT Workflow Development
Data Modelling
SQL Scripting
Data Warehousing Concepts
Cloud Data Platforms
Version Control Systems (Git)
CI/CD Pipeline Familiarity
Analytical Skills
Problem-Solving Skills
Communication Skills
Orchestration Tools (Apache Airflow, dbt)
Data Governance Understanding
Agile Methodologies

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience with Python and Snowflake specifically. Include relevant projects or roles that demonstrate your skills in data engineering, ETL/ELT workflows, and data modelling.

Craft a Compelling Cover Letter: Write a cover letter that connects your background to the role at Capgemini. Mention your understanding of data governance, cloud platforms, and your ability to work in agile environments. Show enthusiasm for the company's mission and values.

Showcase Relevant Skills: In your application, emphasise your proficiency with version control systems like Git and any experience with orchestration tools such as Apache Airflow or dbt. This will demonstrate your technical capabilities and readiness for the role.

Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors or typos. A polished application reflects attention to detail, which is crucial in data engineering roles.

How to prepare for a job interview at Capgemini

✨Showcase Your Python Skills

Be prepared to discuss your experience with Python in detail. Highlight specific projects where you've implemented data engineering tasks, and be ready to demonstrate your coding skills through practical exercises or technical questions.

✨Demonstrate Snowflake Expertise

Since the role requires hands-on expertise with Snowflake, make sure you can talk about your experience with data modelling, performance tuning, and SQL scripting. Consider preparing examples of how you've optimised queries or managed data workflows in Snowflake.

✨Understand Data Governance

Familiarise yourself with data governance and compliance standards relevant to the role. Be ready to discuss how you've ensured data quality, integrity, and security in your previous projects, as this is crucial for the position.

✨Collaborative Mindset

Capgemini values collaboration, so be prepared to share examples of how you've worked with data scientists, analysts, and business stakeholders. Highlight your ability to communicate effectively and adapt to agile environments, as teamwork will be key in this role.

Data Engineer - Python and Snowflake - London
Capgemini
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  • Data Engineer - Python and Snowflake - London

    London
    Full-Time
    43200 - 72000 £ / year (est.)

    Application deadline: 2027-07-13

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    Capgemini

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