Senior Associate, Data Engineering

Publicis Sapient; London; On-site; GBP 50,000 - 90,000; Full time

Job summary

An innovative firm is seeking a Senior Associate in Data Engineering to drive digital transformation for major enterprises. This role involves designing and implementing cutting-edge software solutions while leveraging advanced data technologies, including Big Data and cloud services. You will work with distributed data processing frameworks and ensure optimal performance through effective data modeling and security practices. Join a dynamic team dedicated to inclusivity and diversity, where your contributions will significantly impact the success of leading organizations. If you're passionate about data engineering and eager to make a difference, this opportunity is for you.

Qualifications

• Hands-on experience with data technologies and cloud services.
• Expertise in Java, Scala, and Python for data processing.

Responsibilities

• Design and implement high-end software products for digital transformation.
• Build DevOps pipelines for data solutions, ensuring performance.

Skills

Big Data

Data-related Cloud services (AWS / Azure / GCP)

Spark (Core, Streaming, SQL)

Java

Scala

Python

NoSQL

MPP data platforms

DevOps pipelines

Data security

Education

Certification in cloud platforms or big data technologies

Tools

Hbase

MongoDB

Cassandra

AWS Redshift

Azure SQLDW

GCP BigQuery

Job description

• Turnmill Street - 63 Turnmill Street London, EC1 M5RR United Kingdom

As a Senior Associate with our Data Engineering group, you will be responsible for the design and implementation of high-end software products/services that enable the enterprise scale digital transformation of many of the biggest companies in the world.

Qualifications

Your Skills and Experience

• Good experience with Data related technologies, to include Big Data and data-related Cloud services (AWS / Azure / GCP)
• Good hands-on experience in at least one distributed data processing framework e.g. Spark (Core, Streaming, SQL), Storm, Flink etc.
• Expertise with one or more of Java (preferable), Scala, and Python programming languages
• Good data modeling experience to address scale and read/write performance
• Hands-on working knowledge of NoSQL and MPP data platforms like Hbase, MongoDB, Cassandra, AWS Redshift, Azure SQLDW, GCP BigQuery etc.
• Working knowledge of data platform related services on at least 1 Cloud platform to cover IAM and data security
• Hands-on skills building DevOps pipelines for data solutions, including automated testing

Set yourself apart with

• Sound awareness of the larger data technology ecosystem including Hadoop, open-source frameworks, as well as cloud services across batch and stream processing
• Experience of tuning and optimizing big data solutions
• Experience of data security (at-rest/in-transit)
• Knowledge of distributed messaging frameworks like ActiveMQ, RabbitMQ, Solace, Kafka, search & indexing, and Microservices architectures
• Exposure to data governance, catalog, lineage, and associated tools
• A certification in one or more cloud platforms or big data technologies
• Demonstrated active participation in the Data Engineering thought community (e.g. blogs, keynote sessions, POV/POC, hackathons)

Additional Information

As part of our dedication to an inclusive and diverse workforce, Publicis Sapient is committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, age, disability, sexual orientation, gender identity, or religion.

Publicis Sapient UK is a disability confident employer and is dedicated to fostering an inclusive and accessible work environment. We encourage individuals with disabilities and long-term conditions to apply for this position and we will provide adjustments where possible throughout the recruitment process. If you require any adjustments at any point in the process, please get in touch as soon as possible by emailing [e-mail]. Publicis Sapient UK will then work with you to explore and implement adjustments as and where these are possible. If you have any questions regarding adjustments, please email us: [e-mail].