Data Engineer

Qodea; City of Edinburgh; Hybrid; GBP 45,000 - 65,000; Full time

Job summary

A leading Google Cloud consultancy in the UK is seeking a Data Engineer to design and maintain scalable data pipelines. The ideal candidate will have experience with cloud platforms such as GCP, AWS, or Azure, and proficiency in SQL. This role requires a collaborative spirit and offers competitive compensation along with comprehensive benefits including private medical insurance and 36 days of annual leave.

Benefits

Competitive base salary

Private medical insurance

36 days annual leave

Employee referral scheme

Flexible working hours

Work from anywhere (up to 3 weeks per year)

Qualifications

• Experience with cloud platforms such as AWS, Azure, or GCP.
• Proficiency in SQL and experience with relational databases.
• Strong analytical and problem-solving skills.

Responsibilities

• Design, build, and maintain data pipelines.
• Ensure data quality, accuracy, and completeness.
• Collaborate with data scientists to optimize data models.

Skills

Cloud platforms (GCP/AWS/Azure)

SQL

Programming (Python)

Big data technologies (Hadoop, Spark, Hive)

Data warehousing and ETL tools

Job description

Join Europe's leading, high-growth Google Cloud consultancy. At Qodea, you'll be part of a team energised by innovation and passionate about delivering exceptional results. We craft cutting-edge solutions in data and analytics, AI, cloud infrastructure and security, driving digital transformation that empowers our customers to scale, modernise and lead in their industries. We're driven by ideas and powered by our people.

We are looking for a Data Engineer with skills in cloud platforms (GCP/AWS/Azure), SQL and a programming language (python ideally).

We really value in-person collaboration, so we're looking for you to spend at least 60% of your time on-site. This means being at our company offices or at a client's site.

How You'll Shape Our Success

The purpose of this role is to design, build, and maintain scalable data pipelines and infrastructure that enable the efficient processing and analysis of large, complex data sets.

What You'll Do

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

What You'll Need to Succeed

• Experience with cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
• 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 at least one programming language such as Python, Java, or Scala
• Strong analytical and problem-solving skills with the ability to work independently and in a team environment
  
  

How You'll Grow

• Exceptional performance in this role can lead to advancement opportunities within our career framework or internal opportunities with other business areas, aligned with your career aspirations and business needs
• Potential career development could include progression to the next level or cross-skilling into related roles, such as senior in our Data&AI department, based on performance and ongoing development
  
  

Benefits

Financial:

• 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
  
  

Health and Wellbeing:

• Private medical insurance from day one
• Help@Hand app: access to remote GPs, second opinions, mental health support, and physiotherapy
• EAP service
• Cycle to Work scheme
  
  

Time Off and Flexibility:

• 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)
  
  

Development and Recognition:

• Industry-recognised training and certifications
• Bonusly employee recognition and rewards platform
• Clear opportunities for career development
• Length of Service Awards
  
  

Extra Perks:

• Regular company events
• Tech Scheme
  
  

Diversity and Inclusion Statement

At Qodea, we champion diversity and inclusion. We believe that a career in IT should be open to everyone, regardless of race, ethnicity, gender, age, sexual orientation, disability or neurotype. We value the unique talents and perspectives that each individual brings to our team, and we strive to create a fair and accessible hiring process for all. If you feel we can improve in any way, please reach out to our careers team via email at [e-mail] or connect with us on LinkedIn via our Qodea Company Page.