At a Glance
- Tasks: Build and maintain data pipelines, optimise Snowflake for reporting and analytics.
- Company: Leading financial services organisation with a collaborative team culture.
- Benefits: Competitive salary, hybrid working model, and opportunity to work on strategic initiatives.
- Other info: 5+ years of experience in data engineering with excellent career growth potential.
- Why this job: Join a dynamic team and make an impact on data-driven transformation projects.
- Qualifications: Bachelor's degree in Computer Science or related field; Snowflake expertise preferred.
The predicted salary is between 95000 - 95000 £ per year.
A leading financial services organisation is seeking a skilled Data Engineer to join their Data Team. This is a backfill FTC position to maintain and enhance data engineering capabilities while the primary role holder focuses on a major Workday HR and finance systems implementation.
Youll play a critical role in ensuring business-as-usual operations, maintaining robust data pipelines, and optimising the Snowflake environment to support reporting, analytics, and other strategic data initiatives.
Key Responsibilities:
- Data Pipeline Development: Build and maintain pipelines to support smooth data flows into Snowflake.
- Data Modelling & Warehousing: Design, optimise, and scale data models to meet organisational needs.
- Performance Optimisation: Monitor and fine-tune data pipelines and Snowflake performance.
- Collaboration: Partner with stakeholders across teams to understand and deliver on data requirements.
- Governance & Security: Adhere to data governance policies and maintain robust security measures.
- Documentation & Support: Keep processes well-documented and ensure seamless data operations during the systems rollout.
What Youll Bring:
- Bachelors degree in Computer Science, Data Engineering, or related field (Snowflake certification desirable).
- Advanced skills in Transact SQL and ETL/ELT tools such as Azure, Airflow, or Qlik Replicate.
- Strong experience in data warehouse modelling and pipeline builds.
- Expertise in Snowflake (or strong knowledge of cloud-based databases such as AWS, Azure, or GCP).
- Experience integrating data from HR & Finance systems, particularly Workday.
- Solid grasp of SDLC and commercial data engineering practices.
- 5 years + of industry experience in designing, building, and optimising data platforms, lakes, or warehouses.
- Excellent problem-solving ability and a passion for leveraging data to drive insight and innovation.
Whats on Offer:
- Competitive FTC salary of circa £95,000 p/a
- Opportunity to work on strategic transformation initiatives
- Collaborative and inclusive team environment
- Hybrid working model for flexibility
- October Start
Data Engineer - Snowflake Specialist in London employer: ABC
Thoughtworks is an exceptional employer, offering a dynamic work culture in Manchester that prioritises career development and collaboration. As an Infra & DevOps Engineer, you'll have the opportunity to engage with diverse stakeholders while working on cutting-edge cloud and infrastructure projects, ensuring your skills are continuously honed in a supportive environment. With a focus on technical excellence, Thoughtworks empowers its employees to thrive and make a meaningful impact in their roles.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer - Snowflake Specialist in London
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We think you need these skills to ace Data Engineer - Snowflake Specialist in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at ABC, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at ABC. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at ABC
✨Brush Up on Your Statistics
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
