Hybrid Senior Data Engineer

Posted 23 hours ago

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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

Senior Data Engineer

Job type

Experience level

Senior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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