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For Companies At a Glance
- Tasks: Design and implement cutting-edge software for digital transformation.
- Company: Join Publicis Sapient, a leader in digital business transformation.
- Benefits: Enjoy a diverse workplace with inclusive policies and flexible work options.
- Why this job: Be part of a dynamic team shaping the future of data engineering.
- Qualifications: Experience with Big Data, cloud services, and programming languages like Java or Python required.
- Other info: We support individuals with disabilities throughout the recruitment process.
The predicted salary is between 43200 - 72000 £ per year.
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
- 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
- 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 hiringuk@publicissapient.com. 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: hiringuk@publicissapient.com.
Senior Associate, Data Engineering employer: Publicis Sapient
Contact Detail:
Publicis Sapient Recruiting Team
hiringuk@publicissapient.com
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Associate, Data Engineering
✨Tip Number 1
Familiarise yourself with the specific data technologies mentioned in the job description, such as AWS, Azure, and GCP. Having hands-on experience with these platforms will not only boost your confidence but also demonstrate your commitment to the role.
✨Tip Number 2
Engage with the Data Engineering community by attending meetups or webinars. This will help you stay updated on industry trends and may even lead to networking opportunities that could benefit your application.
✨Tip Number 3
Showcase your knowledge of distributed data processing frameworks like Spark or Flink through personal projects or contributions to open-source initiatives. This practical experience can set you apart from other candidates.
✨Tip Number 4
Consider obtaining a certification in one of the cloud platforms or big data technologies mentioned. This not only enhances your skill set but also signals to us that you are serious about your professional development.
We think you need these skills to ace Senior Associate, Data Engineering
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data technologies, cloud services, and programming languages mentioned in the job description. Use specific examples to demonstrate your expertise in distributed data processing frameworks and data modelling.
Craft a Compelling Cover Letter: Write a cover letter that connects your skills and experiences directly to the responsibilities of the Senior Associate role. Mention your hands-on experience with NoSQL databases and DevOps pipelines, and express your enthusiasm for contributing to digital transformation projects.
Showcase Relevant Projects: If you have worked on relevant projects or participated in the Data Engineering community, be sure to include these in your application. Highlight any contributions to blogs, hackathons, or presentations that demonstrate your active engagement in the field.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. Ensure that all information is clear and concise, as attention to detail is crucial in the tech industry.
How to prepare for a job interview at Publicis Sapient
✨Showcase Your Technical Skills
Be prepared to discuss your experience with data technologies, especially Big Data and cloud services like AWS, Azure, or GCP. Highlight specific projects where you've used distributed data processing frameworks such as Spark or Flink.
✨Demonstrate Problem-Solving Abilities
Expect scenario-based questions that assess your ability to tackle real-world data challenges. Prepare examples of how you've optimised big data solutions or improved data security in previous roles.
✨Familiarise Yourself with the Company’s Tech Stack
Research the tools and technologies used by the company. Understanding their data platform services and how they approach data governance will help you tailor your responses and show genuine interest.
✨Engage with the Data Engineering Community
Mention any involvement in the data engineering community, such as blogs, hackathons, or conferences. This demonstrates your passion for the field and keeps you updated on industry trends, which is crucial for a Senior Associate role.
