Data Engineering Intern working on data pipelines and infrastructure in fast - growing fintech. Collaborating with data engineers, learning best practices and developing data solutions.
About the role
- Senior Data Engineer at Qodea designing scalable data pipelines and infrastructure. Delivering solutions utilizing cutting-edge tools and collaborating closely with teams for impactful results.
Responsibilities
- Develop and maintain automated data processing pipelines using Google Cloud:
- Design, build, and maintain data pipelines to support data ingestion, ETL, and storage.
- Build and maintain automated data pipelines to monitor data quality and troubleshoot issues.
- Implement and maintain databases and data storage solutions:
- Stay up-to-date with emerging trends and technologies in big data and data engineering.
- Ensure data quality, accuracy, and completeness.
- Implement and enforce data governance policies and procedures to ensure data quality and accuracy:
- Collaborate with data scientists and analysts to design and optimise data models for analytical and reporting purposes.
- Develop and maintain data models to support analytics and reporting.
- Monitor and maintain data infrastructure to ensure availability and performance.
Requirements
- Experience in contributing to technical decision making during in-flight projects.
- A track record of being involved in a wide range of projects with various tools and technologies, and solving a broad range of problems using your technical skills.
- Demonstrable experience of utilising strong communication and stakeholder management skills when engaging with customers.
- Significant experience with cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP).
- Strong proficiency in SQL and experience with relational databases such as MySQL, PostgreSQL, or Oracle.
- Experience with big data technologies such as Hadoop, Spark, or Hive.
- Familiarity with data warehousing and ETL tools such as Amazon Redshift, Google BigQuery, or Apache Airflow.
- Proficiency in Python and at least one other programming language such as Java, or Scala.
- Willingness to mentor more junior members of the team.
- Strong analytical and problem-solving skills with the ability to work independently and in a team environment.
Benefits
- Competitive base salary.
- Matching pension scheme (up to 5%) from day one.
- Discretionary company bonus scheme.
- 4 x annual salary Death in Service coverage from day one.
- Employee referral scheme.
- Tech Scheme.
- Private medical insurance from day one.
- Optical and dental cash back scheme.
- Help@Hand app: access to remote GPs, second opinions, mental health support, and physiotherapy.
- EAP service.
- Cycle to Work scheme.
- 36 days annual leave (inclusive of bank holidays).
- An extra paid day off for your birthday.
- Ten paid learning days per year.
- Flexible working hours.
- Market-leading parental leave.
- Sabbatical leave (after five years).
- Work from anywhere (up to 3 weeks per year).
- Industry-recognised training and certifications.
- Bonusly employee recognition and rewards platform.
- Clear opportunities for career development.
- Length of Service Awards.
- Regular company events.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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