Senior Data Engineer

Spitalfields and Banglatown
12 Oct 2018
17 Oct 2018
Contract Type
Full Time
Streamhub is a London based video analytics startup driving technological innovation in the space of OTT media. At a time where OTT services are growing at tremendous rates, we truly believe the big challenge for the media companies lies in profiling and growing their loyal audiences through the matching of interests and context data to available content and advertisements.

Streamhub’s journey from consulting to a global big data platform has been phenomenal, reflecting how technology has strengthened the media over recent years. This journey will get bigger and we are inviting a passionate technologist with plenty of big data experience, to apply your hands-on skills and ideas to our core technology as a senior member of the team. We are based in London with clients spread worldwide in Europe, Asia, US and Japan. You can find more details about our work here .

The Role
You will play a key role in our technology team, joining as a Senior Data Engineer (SDE), which is a 100% hands on role! Like Streamhub’s own ambitions, the SDE’s role is beyond just delivery of certain reports or features but to derive the utmost value from “video content” and “audiences” through technology, covering particular areas of big data like data engineering, distributed computing, cloud operations, machine learning. This role requires you to have experience in most of these and while proven interest in others.
We drove ourselves by our core values which has made us a tight-knit and super productive team which we are proud of. We expect you to be a great team player and to grow yourself along with Streamhub and its gang.
Being a startup, you can expect hard but rewarding work across several projects, technologies or clients, enabling strategic 'experiments' and contributing to initiatives tapping the potential of the data we hold, for the Product or Client focussed propositions.

Desired skills and experience
1. Loves data!
2. At least 4+ years of hands-on professional experience as a data engineer developing production level analytics, big data applications.
3. Expert programming skills in scripting and object oriented languages namely Java, Scala or/and Python.
4. Expert in Apache Spark.
5. Good knowledge of AWS analytic stack - Redshift, Spectrum, Kinesis, Elastic Beanstalk.
6. Excellent experience of RDBMS, NoSQL.
7. Experience in Elasticsearch or any other search engine.
8. Comfortable in handling operational tasks on AWS and/or managing databases, etc.
9. Proficient understanding of distributed computing principles, components and architecture.
10. Experience with streaming solutions and real time applications
11. Knowledge in machine learning / recommendations.
12. Must be self motivated team-player with good communications.
13. Experience in Data-flow, ETL tools, Prestodb is a plus.
14. Domain knowledge in DMPs or ad-tech is a plus!

Qualifications & Prerequisites
1. Master’s degree or higher in Computer Science / Big Data / Machine Learning. 2. Must be proficient in reading, writing and speaking English.
3. Startup experience a plus.

We won’t compete with banks and corporates on salary packages but we can offer a true exposure, responsibility and ownership unique to this growing big data space.

Our technology Stack
● Scala / Java
● Apache Spark
● AWS big data stack
● Kinesis / Kafka
● Cassandra
● Elasticsearch / Solr
● Apache Nifi

● Start time: July, 2018
● Salary: circa £65-70K
● Equity: FTE share options
● We offer VISA sponsorship for non UK nationals with exceptional fit to the position

Posting period
4 July - 4 Sep 2018

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