Senior Backend Engineer, Personalisation Services

Work at Acme.com; City of Westminster; On-site; GBP 45,000 - 70,000; Full time

Job summary

A dynamic technology company in the United Kingdom is seeking a talented data engineer to enhance backend data processing and personalization features. You will work with vast datasets, employing technologies like Java, Python, and several open-source tools to create a deeper understanding of user behavior. The ideal candidate will have a strong background in data-driven organizations, machine learning experience, and a passion for driving impactful changes across services for millions of users.

Qualifications

• Proven experience in backend data processing tools for large datasets.
• Understanding of machine learning and algorithms for user behavior analysis.
• Ability to analyze complex data in a fast-paced environment.

Responsibilities

• Develop and improve backend data processing features and systems.
• Analyze user behavior to provide personalized services.
• Collaborate with data scientists to enhance data processing capabilities.

Skills

Backend data processing

Machine learning

Statistical analysis

Collaboration with data scientists

Tools

Java

Python

Scala

.Net

JavaScript

Kafka

Spark

Hadoop

Job description

• Huge potential to impact across our business, people, partners and most importantly deliver a relevant service to millions of users
• Ownership - the freedom and space to be trusted to do what you do best and to make decisions that matter
• A real opportunity to explore and experiment - developing new & improving current features & systems
• An excellent career move - complexity, challenge and real variety
• Proven success in developing and driving improvement of Backend data processing tools and solutions for Terabytes, and even Petabytes, of continuous data.
• Theoretical and practical understanding of machine learning; building user profiles, recommendation & prediction algorithms; classifier
• Professional experience in a data driven web economy organisation
• Experience of statistical analysis and collaborating with data scientists is a bonus
• Our tech stack includes (but isn't limited to):
• Primary Technologies: - Java, Python
• Additional technologies: - Scala, .Net, JavaScript, CoffeeScript, Couchbase, RabbitMQ, SQL, SQL Server, Graphite
• Open source data processing technologies such as Kafka, Spark, Mesos, Storm, Hadoop, HDFS
• Apache Samza, Elastic Search, Logstash, Kibana, AWS Redshift, AWS DynamoDB, PostgreSQL, PostGIS, OpenTSDB, AWS EMR, Protocol Buffers, Thrift, Parquet, Mesos, Docker
• Help Skyscanner to be even more useful to our users through personalisation and backend data processing
• Working with huge, complex data on our user behaviour, your expertise will ensure a much deeper understanding of our users allowing Skyscanner to deliver a more relevant, personal and trusted service to many millions of users worldwide.