Apply in 3 Minutes! Finance Data Engineer
Apply in 3 Minutes! Finance Data Engineer

Apply in 3 Minutes! Finance Data Engineer

London Full-Time 36000 - 60000 £ / year (est.) No home office possible
Q

At a Glance

  • Tasks: Join us as a Data Engineer to build and optimize data pipelines for finance analytics.
  • Company: Be part of a dynamic team focused on innovative data solutions in finance technology.
  • Benefits: Enjoy a hybrid work model with three days in the office and collaborative team culture.
  • Why this job: Contribute to impactful projects while working with cutting-edge technologies like Snowflake and Azure.
  • Qualifications: Expertise in Snowflake, Python, and finance data is essential; agile experience is a plus.
  • Other info: This role offers a chance to grow in a supportive environment with a focus on data strategy.

The predicted salary is between 36000 - 60000 £ per year.

Data Engineer – Finance Analytics TechnologyWe are looking for a dedicated Data Engineer to join the Finance Analytics Technology team. In this role, you’ll play a key part in building, maintaining, and optimising a modern data ecosystem. This permanent opportunity involves working with leading technologies, including Snowflake, Python, Informatica, and Azure, to deliver high-quality data solutions that support business-critical decision-making.With a hybrid working model and three days a week in the office, this role provides the chance to collaborate closely with cross-functional teams in a dynamic and supportive environment.]Key Responsibilities:Design, build, and optimise scalable data pipelines using ETL and ELT methodologies.Utilise Snowflake for efficient data storage, processing, and analytics.Automate data processes and integrate data from multiple sources using Python and SQL.Leverage Azure cloud-native technologies to enhance data infrastructure, ensuring scalability, performance, and security.Collaborate with data analysts, BI developers, and enterprise data teams to align solutions with business requirements and maintain data governance standards.Apply domain knowledge in finance-related data to improve accuracy, enhance models, and meet business needs.Stay informed about developments in cloud and data technologies, contributing to the organisation’s data strategy.Participate fully in the agile development lifecycle, including sprint planning, design reviews, and delivering data tasks within two-week cycles.Ensure compliance with existing standards while contributing to the refinement of best practices in cloud data engineering.Essential SkillsExpertise in building data pipelines and architectures with Snowflake, Python, and Informatica.Familiarity with Azure and other cloud-native technologies.Strong understanding of finance-related data domains and their application in data engineering.Problem-solving ability, combined with excellent collaboration and communication skills, to work effectively with technical and non-technical teams.Experience working within modern technology stacks and agile methodologies.Background in collaborating with geographically distributed development teams.Desirable SkillsKnowledge of reporting tools such as Power BI.Familiarity with SAP FI datasets or platforms like SAP BW, SAP Analysis, and Business Objects.This is an exciting opportunity to contribute to meaningful data-driven initiatives, working with a forward-thinking team on innovative projects. If this sounds like your next step, we’d love to hear from you!

Apply in 3 Minutes! Finance Data Engineer employer: Qh4 Consulting

Join a forward-thinking team as a Finance Data Engineer, where you'll have the opportunity to work with cutting-edge technologies in a dynamic and supportive environment. With a hybrid working model that promotes collaboration and flexibility, you will benefit from continuous learning and growth opportunities while contributing to impactful data-driven initiatives. Our commitment to innovation and teamwork makes us an excellent employer for those seeking meaningful and rewarding careers.
Q

Contact Detail:

Qh4 Consulting Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Apply in 3 Minutes! Finance Data Engineer

✨Tip Number 1

Familiarize yourself with the specific technologies mentioned in the job description, such as Snowflake, Python, and Azure. Consider building a small project or contributing to an open-source project that utilizes these tools to showcase your hands-on experience.

✨Tip Number 2

Network with professionals in the finance analytics field. Attend meetups or webinars focused on data engineering and finance technology to connect with potential colleagues and learn more about industry trends.

✨Tip Number 3

Prepare to discuss your problem-solving skills and how you've collaborated with cross-functional teams in previous roles. Be ready to share specific examples that highlight your ability to work effectively in a team-oriented environment.

✨Tip Number 4

Stay updated on the latest developments in cloud and data technologies. Follow relevant blogs, podcasts, or online courses to ensure you can speak knowledgeably about current trends during your interview.

We think you need these skills to ace Apply in 3 Minutes! Finance Data Engineer

Data Pipeline Development
ETL and ELT Methodologies
Snowflake Expertise
Python Programming
Informatica Proficiency
Azure Cloud Technologies
SQL Skills
Data Integration
Data Governance
Finance Data Knowledge
Agile Development Methodologies
Collaboration Skills
Problem-Solving Skills
Communication Skills
Experience with Distributed Teams
Power BI Knowledge
SAP FI Datasets Familiarity
SAP BW Experience
Business Objects Understanding

Some tips for your application 🫡

Understand the Role: Take the time to thoroughly read the job description. Understand the key responsibilities and essential skills required for the Finance Data Engineer position, especially focusing on technologies like Snowflake, Python, and Azure.

Tailor Your CV: Customize your CV to highlight relevant experience and skills that align with the job requirements. Emphasize your expertise in building data pipelines, working with cloud technologies, and any finance-related projects you've been involved in.

Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your understanding of finance analytics. Mention specific projects or experiences that demonstrate your problem-solving abilities and collaboration skills.

Highlight Relevant Projects: If you have worked on projects involving ETL processes, data integration, or cloud technologies, make sure to include these in your application. Provide clear examples of how you contributed to the success of these projects.

How to prepare for a job interview at Qh4 Consulting

✨Showcase Your Technical Skills

Be prepared to discuss your experience with Snowflake, Python, and Informatica in detail. Highlight specific projects where you built data pipelines or automated processes, as this will demonstrate your hands-on expertise.

✨Understand the Finance Domain

Since the role involves finance-related data, brush up on key concepts in finance analytics. Be ready to explain how your knowledge can enhance data accuracy and support business needs.

✨Emphasize Collaboration Experience

This position requires working closely with cross-functional teams. Share examples of how you've successfully collaborated with both technical and non-technical stakeholders in previous roles.

✨Familiarize Yourself with Agile Methodologies

As the role involves participating in the agile development lifecycle, be prepared to discuss your experience with agile practices. Mention any specific tools or frameworks you've used to manage sprints and deliverables.

Apply in 3 Minutes! Finance Data Engineer
Qh4 Consulting
Q
  • Apply in 3 Minutes! Finance Data Engineer

    London
    Full-Time
    36000 - 60000 £ / year (est.)

    Application deadline: 2027-02-01

  • Q

    Qh4 Consulting

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