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- Tasks: Develop and maintain data solutions and pipelines for our Data Platform.
- Company: Join a leading banking organisation in London focused on innovative data solutions.
- Benefits: Enjoy a competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Be a data champion, driving business value and enhancing processes in a collaborative environment.
- Qualifications: Expertise in Data Warehousing, ETL tools, SQL, and strong analytical skills required.
- Other info: Experience with cloud databases and third-party collaboration is a plus.
The predicted salary is between 43200 - 72000 £ per year.
This role collaborates with the Data team to develop and maintain data solutions and pipelines within the organization's Data Platform. With curiosity and diligence, they ask the right questions to ensure outcomes align with business and data strategies. They enhance processes and technology, working with internal teams and external suppliers to deliver effective solutions. Combining data engineering and ETL expertise, they translate business requirements into system and data deployments. As a data champion, they oversee deployments, manage UAT, live testing, support, and warranty processes.
Key Responsibilities:
- Identifies opportunities to drive business value through data by enhancing processes, developing new data products, and evolving data operations.
- Develops efficient ETL pipelines for data processing within the Snowflake platform using ETL tools.
- Documents processes and pipelines comprehensively in Confluence.
- Supports issue resolution through the incident framework in Jira.
- Monitors daily ETL jobs and batch processing.
- Enhances the Snowflake data platform with improvements and optimizations.
Key Requirements:
- Expertise in Data Warehousing methodologies (Kimball, 3NF, Data Vault 2.0).
- Proficiency in ETL development tools (e.g., Matillion, DBT, Python/Spark).
- Strong analytical mindset, critical thinking, and problem-solving skills.
- Extensive SQL knowledge (DDL and DML).
- Experience with Python for data processing and automation.
- Familiarity with cloud databases (Snowflake, AWS, GCP, etc.).
- Strong communication and stakeholder management skills.
- Excellent analytical and abstract reasoning abilities.
- Experience collaborating with third-party vendors.
- Ability to manage workloads and meet fixed deadlines.
- Data modeling experience is desirable.
ETL Developer employer: Forsyth Barnes
Contact Detail:
Forsyth Barnes Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ETL Developer
✨Tip Number 1
Familiarise yourself with the specific ETL tools mentioned in the job description, such as Matillion and DBT. Having hands-on experience or projects showcasing your skills with these tools can set you apart from other candidates.
✨Tip Number 2
Brush up on your SQL skills, particularly DDL and DML, as they are crucial for this role. Consider working on sample projects or challenges that require complex SQL queries to demonstrate your proficiency.
✨Tip Number 3
Network with professionals in the banking and data engineering sectors. Attend relevant meetups or webinars to connect with potential colleagues or hiring managers who can provide insights into the company culture and expectations.
✨Tip Number 4
Prepare to discuss your experience with cloud databases like Snowflake, AWS, or GCP during interviews. Be ready to share specific examples of how you've used these technologies to solve problems or improve processes in previous roles.
We think you need these skills to ace ETL Developer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with ETL development tools, data warehousing methodologies, and any relevant projects. Use keywords from the job description to demonstrate your fit for the role.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the banking industry. Discuss how your skills in data engineering and problem-solving can contribute to the company's data strategies and goals.
Showcase Relevant Projects: If you have worked on specific projects involving Snowflake or ETL pipelines, include these in your application. Describe your role, the technologies used, and the impact of your work on the business outcomes.
Prepare for Technical Questions: Be ready to discuss your technical expertise in SQL, Python, and ETL tools during interviews. Prepare examples that showcase your analytical mindset and problem-solving abilities related to data processing and automation.
How to prepare for a job interview at Forsyth Barnes
✨Showcase Your ETL Expertise
Be prepared to discuss your experience with ETL tools like Matillion or DBT. Highlight specific projects where you developed efficient pipelines, and be ready to explain the challenges you faced and how you overcame them.
✨Demonstrate Your Analytical Skills
Since the role requires strong analytical and problem-solving skills, come equipped with examples of how you've used SQL and Python to solve complex data issues. This will show your ability to think critically and apply your knowledge effectively.
✨Understand Data Warehousing Methodologies
Familiarise yourself with different data warehousing methodologies such as Kimball and Data Vault 2.0. Be ready to discuss how these methodologies can be applied in real-world scenarios, particularly in the banking sector.
✨Communicate Effectively
Strong communication skills are essential for this role. Practice articulating your thoughts clearly and concisely, especially when discussing technical concepts. Be prepared to explain how you've managed stakeholder relationships in previous roles.
