Director of Data Engineering

London, United Kingdom

Applications have closed

Company Description

Publicis Sapient is a digital transformation partner helping established organizations get to their future, digitally-enabled state, both in the way they work and the way they serve their customers. We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting and customer experience with agile engineering and problem-solving creativity. United by our core values and our purpose of helping people thrive in the brave pursuit of next, our 20,000+ people in 53 offices around the world combine experience across technology, data sciences, consulting and customer obsession to accelerate our clients’ businesses through designing the products and services their customers truly value.

Job Description

Publicis Sapient has an outstanding opportunity for a senior data leader to join our UK business and assume a key role within the Data Engineering capability. This role will see the successful individual lead the charge in enterprise scale data engineering transformation programmes for our global clients. In addition, they will help to grow and shape data practice at Publicis Sapient into a world-class capability.

Your Impact

 

  • Deliver state-of-the-art data solutions for a range of clients across the financial services, retail, energy and other sectors
  • Lead PS transformation in superior engineering approach towards data
  • Help to develop state-of-the-art solutions that unlock the value of clients’ data for their organization together with AI, machine learning and analytics teams
  • Bring tried and tested consulting skills honed in client facing roles
  • Engage with business and technology stakeholders all the way to C-Level, appropriately increasing/decreasing the level of detail for your audience
  • Provide and develop data practice through thought leadership, building accelerators and grooming/mentoring talent across PS

The role requires a hands-on technologist with expertise in Big Data, Cloud, Batch and Streaming based data solutions, providing strategic and tactical direction to teams and guide customers in their digital transformation journeys. The individual should have a strong programming background in technologies like Java/Scala/Python along with Spark and other related computing frameworks.

As a data engineering practitioner, you will also have a strong point of view on and understanding of build vs. buy, performance considerations, hosting, business intelligence and reporting & analytics. Ideally, you will also have experience in integrating data with marketing scenarios like segmentation, targeting, consumer 360 view etc.

Qualifications

You will demonstrate the following:

  • Extensive experience in Data technologies across streaming and batch-oriented realms and cutting across data acquisition, storage, processing, consumption patterns in operational and analytical domains, and expertise in cloud-related data services (AWS / Azure / GCP)
  • End to end data architecture skills including Analytics, ML and Activation tools in overall Data-driven Digital Business Transformation (DBT)
  • Leading Technical Architecture, Design and Delivery of Big Data and Cloud Data solutions (AWS, Azure, GCP) for multiple projects
  • Expertise in distributed data processing frameworks like Spark, Storm, Flink across batch and streaming realms, programming languages preferably in Java/Scala and/or Python as a secondary language and distributed messaging/streaming frameworks like Kafka, Pulsar, Google Pub/Sub, Azure EventHub, AWS Kinesis
  • Experience with NoSQL databases (Cassandra/HBase/MongoDB/ElasticSearch/Neo4j) and scalable analytical data stores like Snowflake, BigQuery, Redshift, Teradata
  • Knowledge of scalable data models that address a wide variety of consumption patterns including random-access, sequential access including necessary optimizations like bucketing, aggregating, sharding
  • Experience in Performance tuning, optimization and scaling solutions from a storage/processing standpoint
  • Experience with setting up data engineering practices across architecture, design, coding and quality assurance and deployment of such through industry-standard DevOps practices for CI/CD and leveraging tools like Jenkins/Bamboo, Maven, Junit, SonarQube, Terraform (one-click infrastructure setup), Kubernetes, containerization
  • Solid understanding of Data Governance, Data Security, Data Cataloguing and Data Lineage concepts (any tools experience in these areas like Collibra is preferred)
  • Leading data audits/assessment, defining data strategy and provide consulting skills to the clients
  • Leading proposals (RFPs) from solution, architecture, estimation and framework standpoint
  • Thought leadership in Data Engineering e.g. writing blogs, creating PoV’s, possess knowledge of industry trends, attending/presenting in internal/external technical forums, mentorship etc
  • Excellent communication, presentation and collaboration skills
  • Leading / participating in Data CoE initiatives e.g. building accelerators, driving mindshare through blogs, point of views, industry participation, coaching/mentoring team members, and keeping abreast through continuous learning

Additional Information

Benefits

  • We have got you covered with 25 days paid annual leave (rising to 27 after two calendar years), life assurance, dental insurance, income protection, critical illness cover, private healthcare for you and your family (pre-existing conditions included) and a pension
  • We know the importance of health and wellbeing so offer you extensive retail discount offers and further reimbursement towards activities that contribute to a healthier lifestyle
  • Free and delicious coffee served by our very own in-house baristas
  • We are proud to actively invest in your learning through various learning platforms
  • Diversity and inclusion aren't just buzzwords. We offer an inclusive environment through our inspirational business resource groups https://careers.publicissapient.com/life-at-ps/diversity-inclusion
  • We work with you to give back to the local community through CSR efforts

Learn more about us at www.publicissapient.com or explore other career opportunities www.careers.publicissapient.com.

Tags: Agile Architecture AWS Azure Big Data BigQuery Business Intelligence Cassandra CI/CD Consulting Data governance Data strategy DevOps Elasticsearch Engineering Flink GCP HBase Kafka Kinesis Kubernetes Machine Learning Maven MongoDB Neo4j NoSQL Pulsar Python Redshift Scala Security Snowflake Spark Streaming Teradata Terraform

Perks/benefits: Career development Health care Startup environment Team events

Region: Europe
Country: United Kingdom
Job stats:  5  1  0

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