Senior Data Engineer @ Ocado Technology

Senior Data Engineer @ Ocado Technology

Polsko

• Proven experience as a Data Engineer or similar role.
• Strong proficiency in SQL and experience with Google BigQuery.
• Solid understanding of data modelling, ETL processes, and Big Data concepts.
• Experience with data integration and transformation tools.
• Familiarity with cloud-based data storage and processing (preferably Google Cloud Platform).
• In-depth knowledge and experience with the most advanced features of BigQuery.
• Strong analytical and problem-solving skills.

What will make you stand out:

• In-depth knowledge and experience with the most advanced features of BigQuery
• Some programming experience (Java or Python)

We are seeking a skilled and experienced BigQuery Senior Data Engineer to join our dynamic team. As a BigQuery Data Engineer at Ocado Technology, you will play a crucial role in managing BigQuery data at all stages of the lifecycle, identifying inefficiencies and waste, and optimising the utilisation of BigQuery resources across the organisation. Additionally, you will be responsible for leveraging the most advanced features of BigQuery and ensuring the implementation of cutting-edge solutions and delivery of valuable insights to the rest of the organisation. 

BENEFITS: WHAT’S IN IT FOR YOU?

Work and life should fit together, so we offer a range of benefits focusing on well-being, development, and team spirit. The final package will depend on the contract type we agree on.

• Standard benefits: life insurance, private health care [Luxmed], Multisport card, lunch vouchers, company share programs, and assistance for everyday worries and serious health problems.
• Learning opportunities: access to the Learnebly platform and LinkedIn Learning, English classes, and a book library,
• Parental support: additional +10 days maternity / +20 days paternity leave, funding for nurseries and kindergartens
• Hybrid model: 2 days/week in the office and flexibility to work from almost any location for up to 30 days a year.
• Office perks: centrally located offices with car and cycling parking, and home office equipment provided.
• Career growth: a clear career path with opportunities to rotate between projects, teams, domains and roles under the guidance of highly skilled senior colleagues
• High engineering culture: unique software engineering culture with a high level of test coverage and agile environment [read about our tech stack and engineering
  practices across Ocado Technology]
• Speaker community: public speaking training and support for preparing presentations at conferences or meetups, including our own Ocado Technology Meetups
• Passions groups: running, cycling and more
• Annual celebrations: carnival, summer parties, family picnics, or kid’s days.

,[Design, develop, and maintain BigQuery data pipelines and workflows, utilising the most advanced features of BigQuery., Collaborate with cross-functional teams to understand data requirements and ensure data integrity., Identify opportunities for performance optimization and implement solutions to enhance efficiency., Build tools that drive the organisation towards maturity in FinOps practices., Develop and implement effective data retention strategies in compliance with organisational policies and regulations., Utilise the latest advancements in BigQuery to deliver cutting-edge solutions and enhance overall data engineering capabilities., Troubleshoot and resolve data-related issues in a timely manner., Stay current with industry trends and best practices to continually enhance data engineering capabilities., Work closely with data scientists and analysts to understand data needs and support data-driven decision-making.] Requirements: Data engineering, SQL, BigQuery, Data modeling, ETL processes, Big data, Data integration, Transformation tools, GCP, Analytical skills, Problem-solving, Java, Python Additionally: Sport subscription, Training budget, Private healthcare, Lunch card, International projects, Free coffee, Bike parking, Playroom, Shower, Modern office, Free parking, Free breakfast.

Kategorie

data

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