Data Engineer - ML Knowledge

5 days ago

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Qodea

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Qodea is a leading cloud technology partner specializing in Google Cloud solutions. With over 15 years of experience and more than 300 experts, Qodea helps businesses unlock the full potential of Google's cloud technology to drive digital transformation and achieve real-world success. As Europe's largest dedicated Google Cloud partner, Qodea supports major brands in harnessing cloud technology, ensuring seamless transitions, and maximizing business value. The company offers comprehensive services in infrastructure modernisation, data activation, AI integration, and security, tailoring solutions to meet UK and EU regulatory requirements.

Software as a Service • Google Apps • Google Search • Google Maps Consulting Services • Google Cloud Platform

201 - 500 employees

🏢 Enterprise

☁️ SaaS

🤝 B2B

📋 Description

Qodea is Europe’s leading Google Cloud specialist consultancy. We're a team that’s energised by innovation and delivering exceptional results for our clients. We deliver cutting edge solutions across data & analytics, AI, cloud infrastructure or security that drive digital transformation and enable our customers to scale, modernise and thrive. • In joining Qodea, you’ll work alongside specialists in their field and would have access to mentoring, industry-recognised training and certifications, and personalised development plans to support your career growth. • We’re always looking for motivated and energetic people who are eager to learn and grow, so if you want to supercharge your career, join Qodea! • Responsible for creating and maintaining the knowledge materials for the scope of the team, regarding delivery on MSP customers. • Act as an escalation point for support teams when managing requests and incidents from MSP customers. • Act as a trusted advisor to customers, developing a deep understanding of their technical challenges and leveraging GCP technologies, patterns and practices to address them effectively. • Work closely with the delivery teams, Google, and customer engineering teams to: • Understand and use repeatable and consistent technology stacks across our customer projects. • Help document and implement managed service processes that are aligned with a project's technology stack, and customer requirements. • Help to identify areas for service improvement (tools, processes, internal KPIs) across the teams, to provide a consistent and integrated MSP experience for our customers. • Follow & improve if applicable the best practices, processes and procedures relevant to the team’s activity. • Ability and willingness to upskill and mentor colleagues, in order to ensure a smooth delivery across teams. • Maintain an awareness of emerging technologies. Propose new technologies for the team to consider. • Possibility to represent Qodea in the relationship with Google or customers. Availability for potential customer visits based on the needs. • Handle customer escalations and facilitate any patches or fixes as needed to resolve any issues relating to their data platform. • Investigate issues in and maintain data models to support analytics and reporting • Monitor and maintain data infrastructure to ensure availability, correctness and performance • Perform regular checks to ensure data pipelines and ML models are working correctly. • You’ll collaborate with the customer on a quarterly basis to ensure all requirements continue to be met. • Scope and plan implementation of any customer changes/requirements • Maintain automated data pipelines to support data ingestion, ETL, and storage

🎯 Requirements

Experience in performing a technical leadership role on projects and experience with transitioning projects into a support program • Experience with Google Cloud Platform (GCP) services, including Cloud Composer (Apache Airflow) for workflow orchestration. • Strong experience in Python with demonstrable experience in developing and maintaining data pipelines and automating data workflows.. • Proficiency in SQL, particularly BigQuery SQL for querying and manipulating large datasets. • Familiarity with machine learning (ML) concepts, algorithms (supervised/unsupervised learning), and ML tools. • Experience with version control systems (e.g., Git). • Strong expertise in Python, with a particular focus on libraries and tools commonly used in data engineering, such as Pandas, NumPy, apache airflow. • Experience with data pipelines, ELT/ETL processes, and data wrangling. • Dashboard analytics (PowerBI, Looker [Studio] or Tableau) experience • Excellent English, written and verbal • Worked in a client facing role previously and ability to communicate and translate business requirements into technical specifications. • Collaborative, proactive, logical, methodical, and attentive to detail • Willingness to mentor and coordinate more junior members of the team. • A can do attitude and team player

🏖️ Benefits

Health Care package • NN Assurance package (life and health) • 10 learning days per year • Regular opportunities for industry recognised training and certifications • Opportunities to develop within a fast growing-tech business with ambitious growth and impact goals • 28 days PTO + 15 days Bank Holidays and your birthday off • Length of service awards • Sabbatical leave for employees over 5 years service • Meal tickets • Transportation costs • Bookster Platform • Company events - opportunities to meet colleagues you don’t see every day