Position: Senior Software Engineer (Python) for Ciklum Client
Company: Ciklum
Experience required: 5y
English level: intermediate

You’ll have the opportunity to work with big data technologies, building scalable and reliable solutions to support real-time analytics, advanced data science, and critical operational projects powered by data.

We’re looking for an enthusiastic engineer to join the Self Service Tools team within Data Systems.
Self Service Tools
Our mission is to enable all employees to be self-sufficient with data so that data-driven decisions can be made quickly and easily. We build and maintain all of Just Eat’s data-centric tools.
We use engineering to simplify tasks, reducing the technical barrier of entry to navigate, explore, and consume our data. Our tools use Airflow to unlock the tasks of transformation and egress of data, making these simple functions that can be undertaken by anyone. 

We support over 200 active users across the business, building Airflow backed tools that run thousands of DAGs in multiple timezones. We manage and run our own Airflow clusters on Kubernetes. We work together as a team in three countries to produce innovative products and keep data flowing.

*Responsibilities*
The Data Systems team’s role is to build a transformational data platform in order to democratize data in Just Eat. Our team is built on the following ideals:
●	Open Data: We ingest all data produced across Just Eat using batch and realtime pipelines and make it available to every employee in Just Eat. This data is then used to drive analytics, business intelligence, data science and critical business operations.
●	Self Service: We build tools, frameworks and processes to support self-service modelling and activation of data. Our goal is to empower our users to find, process and consume our data without barriers.
●	Single Truth: We build services that host all metadata about Just Eat’s data in a single store and promote governance, data culture and Single Source of Truth.
●	Intelligent Personalisation: We build and maintain a machine learning platform which supports data scientists in developing and deploying ML models at the production 
scale. This allows us to deliver insights, personalization and predictions to our customers at scale.

*Requirements*
You should apply if:
●	You love writing well tested, readable and performant code, capable of processing large volumes of data. You have mastery in Scala and/or Python.
●	You love working with Cloud technologies and have experience in working with AWS, Azure or Google Cloud. We use Google Cloud with a mix of services - Kubernetes, Dataflow, PubSub etc.
●	You can contribute to architecture discussions and influence peers and stakeholders to make better decisions.
●	You have the inclination to collaborate and ability to communicate technical ideas clearly. 
●	You understand the entire product development lifecycle, from coding to deployments, to monitoring, alerting etc... Our teams maintain all aspects of our product lifecycle, but we don’t expect everyone to be an expert in all of it.
●	You understand the fundamentals of computing and distributed systems