Data Engineer - Contract at Tractable, London, £Contract Rate
Feb 23, 2021
Duration not stated
Who are we?
Welcome to Tractable, we 're an AI company with a mission of transforming breakthrough discoveries in deep supervised and semi-supervised learning into products that actually help people.
Engineering @ Tractable
We are a tight-knit team, taking a data-driven approach to solve real-world machine learning problems. We have a track record of taking cutting edge research and making it work for real products: we have the necessary resources (in-house labelling and domain experts) and a large volume of data to train our algorithms, so we can focus on solving those big problems and adding value to our customers!
The project you will be working on:
You 'll be joining on an initial 3 month remote contract to support our talented team working on our new Data Platform, the tool that will help bring data usage in Tractable to a different level. The Platform will be the backbone of Tractable internal reporting and AI Models improvements and training.
You 'll be focussing on developing, architecting and scaling our data services, data lakes and ETLs to enable reporting, ad-hoc querying and model trainings. You will be required to gather context about the wider data space and how our data is collected and processed. Your day-to-day tasks would involve thinking of data models, ETLs, data lakes, data-warehouses and feature stores. You will also work closely with our research team to understand how the AI / ML training occurs and the data that need to be provided so we can maximize the accuracy and reduce the data preparation step for new models.
We work in a lean team comprising data engineers and product managers. We continuously learn how to best achieve our mission: we make the best of feedback and experiences brought in by everyone and we look forward to hearing about what you can bring!
You 'll play a key role in developing our platform, as part of a small but high performing team. You will join as a Data Engineer and influence the data engineering strategy at Tractable with plenty of scope and autonomy to make meaningful impact and grow your skills.
The contract will be offered for an initial 3 months.
Help build the next gen data platform in Tractable.
Make sure that data is secure, reliable and easily accessible across the company by leveraging the latest technologies
Build tools for automation, monitoring and alerting of the data pipelines.
Write complex ETL in Python/PySpark to generate reports from a variety of sources.
Build internal tools and libraries for our engineers and internal customers
Write Infrastructure as Code using Terraform
Collaborate in design and problem solving sessions.
Research and implement new tools and technologies in the data space
Work with our stakeholders to iterate on our data products
Suggest improvements and introduce best practices into the team
Our Tech Stack:
AWS - IAM, Glue, Athena, Lambda, SQS, SNS, S3
Python, Apache Spark
What we 're looking for:
We 're strong skills in Python and Apache Spark
Strong experience developing, architecting and scaling data services
Previous experience introducing best practices or processes into a team and a strong desire to help others succeed
Strong architectural design skills and being able to discuss the merits and trade-offs of using any particular design approach and technologies
Experience working in a AWS Data Stack (AWS Glue, Lambda, S3, Athena)
Experience using Apache Spark/PySpark for data processing
Bonus: Experienced with data streaming applications middleware (e.g. Kafka, Rabbitmq)
Bonus: Experienced using Terraform for Infrastructure as code
Remote until June 2021 minimum due to COVID-19. Ordinarily based in Old Street, London
Stability during COVID-19:
We 've made no furloughs and no redundancies during the pandemic. We 've been doing well as a business during this period and have hired over 40 people during the pandemic across different areas of the business, with additional roles currently still open. As such, we can offer you a lot of confidence around career stability during this uncertain time.
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