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Job: Data Engineer (London W1)
- Salary to £95k
- Benefits; pension, stock options*, free in-office lunches
- Location; Mon-Fri onsite in London W1 offices (Piccadilly Circus)
Company
Having recently floated on *NASDAQ, this company is a dynamic, AI-first SaaS company known for leveraging the latest advancements in Generative AI to deliver world-class Ai commerce solutions. Recognized by industry leaders, they are in an exciting growth phase and seeking experienced professionals to join their innovative team. This is a chance to a pioneering team that's transforming the future of commerce with AI and ML!
The Role
Working Mon-Fri from their Piccadilly Circus offices, they are seeking a highly skilled and motivated Data Engineer to join their rapidly expanding talented team. If you are passionate about data engineering and eager to apply your skills in AI and ML within a dynamic and forward-thinking company, they would love to hear from you.
Position Overview
As a Data Engineer, you will be an integral part of their SaaS product team, focusing on enhancing and improving their data engineering function. You will leverage the latest data engineering tools and techniques and apply your knowledge in AI and Machine Learning (ML). You will collaborate closely with their data scientists, product managers, and other engineering teams to develop scalable data solutions that drive their business forward.
Key Responsibilities
Design, develop, and maintain scalable data pipelines and systems.
Implement and deploy robust data models and ensure data quality and integrity.
Collaborate with AI and ML teams to integrate advanced analytics and machine learning solutions.
Optimize data workflows and processes for efficiency and performance improvements.
Utilize tools such as Hadoop, Spark, Kafka, and SQL to manage and process large datasets.
Develop and implement data governance and security protocols.
Required
Proven track record of using the latest data engineering tools and techniques
Experience with Hadoop, Spark, Kafka, and SQL.
Proficiency in programming languages such as Python and Java.
Familiarity with data warehousing solutions like Redshift or Snowflake.
Strong knowledge and experience in AI and Machine Learning techniques.
Ability to work collaboratively in a cross-functional team environment.
Excellent problem-solving skills and attention to detail.
Experience in integrating AI and ML models into data workflows.
Experience with ETL tools and implementing ETL pipelines.
Beneficial
Experience with cloud platforms such as AWS, Azure, or Google Cloud.
Understanding of Generative AI and its applications.
Familiarity with NoSQL databases.
Other Stuff
NB: for non-UK Citizens: we cannot accept applications from anyone requiring sponsorship (now or in the future) for UK permanent employment status. If you are using a work visa this must allow you to work in the UK unrestricted for at least the next 5 years.
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Profile 29 recruitment keywords: data engineer data scientist data science artificial intelligence machine learning saas London google cloud aws large language models llm AI ML Hadoop Spark Kafka SQL Python Java Redshift Snowflake
