Airfinity is a tech start-up seeking to unlock the hidden value in the data of the $1 Trillion event industry.
Based
in London, Airfinity was co-founded by global branding expert Rasmus
Bech Hansen and serial entrepreneur Sacha Carton to build a powerful
data driven event intelligence platform and longer term a new disruptive
format for marketing and brand building.
Our platform enables
companies to find and assess the right events to attend, speak at and
sponsor whilst also enabling event organisers to gain deep audience
insights on their event followers and attendees.
Having
recently secured seed funding in mid 2016, we are looking to make a
series of instrumental hires that will lead the future success of the
company.
The product you build with us will transform the way
events globally get sponsored, ultimately leading to more and better
events for people to share their passions.
About You
- We’re
seeking an autonomous, versatile and curious individual that is fully
hands-on and can take responsibility of the data architecture.
- You are energised by the unknowns.
- You have a deep understanding of the software engineering design trade-offs.
- You feel comfortable working within an Agile principles context, but are not obsessed by any Agile methodology in particular.
- You love learning and solving problems
About the Role
- Architect, build, and own the data platform at Airfinity, under the guidance and mentorship of the CTO
- Proactively contribute to development and product discussions, highlighting challenges and opportunities
- Carry
out complex tasks with a minimum of guidance, you also have the ability
to manage multiple complex and time critical projects concurrently.
- Champion and mentor data quality best practises within the team, bringing a pragmatic data engineering culture to the table.
Requirements
Required Experience & Skills
- You have a project/app that has been released to the market
- Experience ingesting and cleansing data at scale, from APIs, Datastores, or flat-files
- Experience processing data at a non-trivial scale
- Strong experience with Python and its ecosystem
- Experience with some of these technologies:
- Any RDBMS (PostgreSQL, MySQL, MariaDB, Microsoft SQL Server, et similia)
- Data analysis tools - eg SQL Query Engines (PrestoDB, Impala), OLAP & BI (Amazon Redshift)
- ElasticSearch, Kibana
- Data sPOSTGREcraping (eg Scrapy)
- Apache Airflow
What You May Have Experience With
- Serverless architecture, Micro-services, or SOA
- Spark (RDD, SQL, DataFrames)
- A Graph Database (Titan DB or similar) or Graph computation (Spark GraphX)
- A stream processing technology, eg Kafka or AWS Kinesis
Benefits
- Competitive salary (based on experience)
- Stock options
- Working with a fun, international and highly-motivated team
- Flexible working
- Great Apple hardware
- Cool office in central London office (Paddington)APIS
