Consultant, Data Engineer GCP, Data & Analytics Modernisation, Consulting, London

Job Description

Your OpportunityTake your career to the next level by joining one of the worlds best and most recognized professional services firms. Within Deloittes Analytics and Cognitive service offering, we imagine, deliver and run innovative solutions to help our clients solve complex challenges and maximize the value of their data. At Deloitte, you will be able to build your career, access the best training and learning opportunities, and develop new skills and hone existing ones. We work for a huge variety of interesting, international, and world-leading clients on exciting next generation technology-enabled projects. We are looking for candidates with Data, Engineering and GCP expertise to join us, working in fast-paced teams with other highly talented, fun and motivated colleagues. We encourage consideration of flexible ways of working, both formal and informal arrangements that allow for the best outcomes for our people and our clients. If this opportunity is of interest to you with some flexibility, please do discuss with us. Strategy, Analytics and M&A How do you make intelligent, future-proof decisions in a world where change is the one constant Thats exactly what youll help our clients to do. Youll build trusted relationships with business stakeholders - and use the most exciting new technologies available - to create data-driven programmes that transform their organisations. Your advice will help clients position their organisations to succeed in an ever-evolving marketplace. Your role As a practitioner in Data & Analytics Modernisation, you are responsible for delivering Data on GCP Cloud projects. You are encouraged to devise innovative solutions to help our clients address their biggest data challenges including developing modern analytics platforms. Typical projects could include: developing a GCP streaming data ingestion pipeline, developing Scala application, engineering and optimising machine learning models, designing physical data models on object, NoSQL and RDBMS stores, or re-engineering / re-platforming an existing solution. In your role, you will have responsibility for deliverables and client stakeholder relationships and will be delivering solutions for our clients using agile methodologies. You will often be working in multi-disciplinary teams across a range of industries, subject matters and locations. Our projects vary greatly and your responsibility as a Consultant will differ based on the focus of the client engagement and your skillset, but could include and may require you to: • Work directly with client stakeholders, as a part of a team, to assess the as-is solution and suggest an efficient to-be solution based in GCP IaaS, PaaS and Serverless components • Work effectively in diverse teams within an inclusive team culture where people are recognized for their contribution • Investigate and understand trends in open source data technology development, such as Apache projects and the work of leading tech companies such as Facebook and Netflix • Assist in the development of our market leading analytics and cognitive offerings, help produce proposal documents to showcase our capabilities, and contribute to the development of our thriving Data & Analytics Modernisation community • Contribute to client project delivery and ensure commercially successful conclusion of the client engagements. You may be involved in: • Designing, architecting and implementing components of end-to-end next generation data solutions for our clients for their data and analytics needs. • Contributing to the solution architecture of an operational information delivery or analytics solution • Contributing to the designing of an enterprise data lake to cater to a clients data storage needs for structured and unstructured data, to enable analytics across global clients • Developing components of a real-time data solution using streaming ingestion and deliver real time analytics, to help our clients respond to customer behaviour as it happens • Developing components of a cloud based Information Delivery platform which allows our clients apps to talk to each other, enabling real-time insight from the movement of data between their technology components • Assisting our clients to modernize their data warehouse to achieve scalable analytics • Cleansing and transformation of data using cloud based tools and services. Your work, your choice At Deloitte we believe the best impact is the value we add, not the hours we sit at our desk. We carefully consider agile ways of working, both formal and informal, that allow for the best impact for our people and our clients. Please speak to your recruiter about the working pattern that works best for you. Location: Your home office will be London, but this client-facing role provides lots of opportunity for travel in the UK and overseas. Work pattern: This is a permanent contract opportunity. Our team members work a variety of agile working patterns. Tell us what arrangement works for you and well try to accommodate. Your professional experience • Must have Python, Scala, C++ or Java development experience deploying workload to production • Should have either one of the following: • GCP Associate Cloud Engineer, or • Similar certification • Ability to demonstrate stakeholder management skills and collaborate effectively with multidisciplinary teams. Candidates must have experience in GCP Data Platforms involving some or all of the following areas: • Implementing data lake and data warehouse solutions on GCP using Cloud Storage, Cloud SQL, BigQuery, and other appropriate services. • Developing logical and physical data models for NoSQL data stores such as BigTable, MongoDB, Cassandra, etc. • Developing and orchestrating highly performant, scalable and re-usable data ingestion and transformation pipelines across GCP components and services such as Functions, Dataproc, and Dataflow. • Developing Event based and streaming data ingestion and processing using GCP PaaS services such as Pub/Sub, or Apache Kafka. • Developing data governance, data cataloguing and data lineage solutions using tools such as GCP Data Catalog, Informatica Data Catalog, Talend Data Catalog, IBM Information Governance Catalog. • Developing Apache Spark applications for both batch and streaming data processing. • Developing RESTful and GraphQL APIs for inter-service and external data exchange. • Have worked with platforms from key cloud vendors such as Databricks, Snowflake, or similar. • Have worked in agile delivery teams with DevOps ways of working to continuously deliver iterative deployments with experience in using Git, Jira, Confluence, or similar. • Have had experience in data migration activities in the past including migration strategy and approach, source and target system discovery, analysis, mapping, development and reconciliation. Your service line: Consulting Our people and the way we work are the two things that set us apart in the consulting universe.