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Google Cloud Platform Data EngineerConsultancy.ukBristol, England, United Kingdom
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Google Cloud Platform Data Engineer

Consultancy.uk
  • GB
    Bristol, England, United Kingdom
  • GB
    Bristol, England, United Kingdom
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À propos

Company Description We’re an innovation and transformation consultancy that believes in the power of ingenuity to build a positive‑human future in a technology‑driven world. Our diverse teams of experts combine innovative thinking with breakthrough technologies to progress further, faster. With a global network of FTSE 100 and Fortune 500 clients, we’ll offer you unrivalled opportunities for growth and the freedom to excel. Combining strategies, technologies and innovation, we turn complexity to opportunity and deliver enduring results, enabling you to build a lasting career. Isn’t it time you joined us?
Location Bristol, United Kingdom
Job Description As a Principal GCP Data Engineer, you'll be a true subject‑matter expert in using the data processing and management capabilities of Google Cloud to develop data‑driven solutions for our clients.
You will typically lead a team or the solution delivery effort, demonstrating technical excellence through leading by example. You could be providing technical support, leading an engineering team or working across multiple teams as a subject‑matter expert who is critical to the success of a large programme of work.
Responsibilities
Develop robust data processing jobs using tools such as Google Cloud Dataflow, Dataproc and BigQuery
Design and deliver automated data pipelines that use orchestration tools such as Cloud Composer
Design end‑to‑end solutions and contribute to architecture discussions beyond data processing
Own the development process for your team, building strong principles and putting robust methods and patterns in place across architecture, scope, code quality and deployments
Shape team behaviour for writing specifications and acceptance criteria, estimating stories, sprint planning and documentation
Actively define and evolve PA’s data engineering standards and practices, ensuring we maintain a shared, modern and robust approach
Lead and influence technical discussions with client stakeholders to achieve the collective buy‑in required to be successful
Coach and mentor team members, regardless of seniority, and work with them to build their expertise and understanding
Qualifications
Experience delivering and deploying production‑ready data processing solutions using BigQuery, Pub/Sub, Dataflow and Dataproc
Experience developing end‑to‑end solutions using batch and streaming frameworks such as Apache Spark and Apache Beam
Expert understanding of when to use a range of data storage technologies including relational/non‑relational, document, row‑based/columnar data stores, data warehousing and data lakes
Expert understanding of data pipeline patterns and approaches such as event‑driven architectures, ETL/ELT, stream processing and data visualisation
Experience working with business owners to translate business requirements into technical specifications and solution designs that satisfy the data requirements of the business
Experience working with metadata management products such as Cloud Data Catalog, Collibra and data governance tools like Dataplex
Experience in developing solutions on GCP using cloud‑native principles and patterns
Experience building data quality alerting and data quarantine solutions to ensure downstream datasets can be trusted
Experience implementing CI/CD pipelines using techniques including git code control/branching, automated tests and automated deployments
Comfortable working in an Agile team using Scrum or Kanban methodologies
Additional Desired Experience
Experience of working on migrations of enterprise‑scale data platforms including Hadoop and traditional data warehouses
Understanding of machine learning model development lifecycle, feature engineering, training and testing
Good understanding or hands‑on experience of Kafka
Experience as a DBA or developer on RDBMS such as PostgreSQL, MySQL, Oracle or SQL Server
Experience designing data applications to meet non‑functional requirements such as performance and availability
Personal Qualities
You are pragmatic and already understand that writing code is only part of what a data engineer does
You can clearly communicate with both clients and peers, describing technical issues and solutions in both written and meeting/workshop contexts
You are able to clearly explain technical concepts to non‑technical audiences at all levels of an organisation
You are able to influence and persuade senior and specialist client stakeholders, potentially across multiple organisational boundaries without direct authority
You are a confident problem solver and troubleshooter
You are confident and generous in sharing your specialist knowledge, ideas and solutions
You are constantly learning and able to make others better by consciously teaching and unconsciously inspiring
Benefits
Private medical insurance
Interest‑free season ticket loan
25 days annual leave with the opportunity to buy 5 additional days
Company pension scheme
Annual performance‑based bonus
Life and Income protection insurance
Tax efficient benefits (cycle to work, give as you earn, childcare benefits)
Voluntary benefits (Dental, critical illness, spouse/partner life assurance)
PA is committed to building an inclusive and supportive culture where diversity thrives, and all of our people can excel. We believe that greater diversity stimulates innovation, enabling us to fulfil our purpose of ‘Bringing Ingenuity to Life’, supporting the growth of our people, and delivering more enduring results for our clients.
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  • Bristol, England, United Kingdom

Compétences linguistiques

  • English
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