Senior Data Engineer (Remote)

13 января 2021    26
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About us

Systematic Alpha is a Finnish investment management firm which works in the global equity markets to generate extraordinary absolute returns to our clients.
Our primary focus is systematic trading, data development, quantitative analysis, and financial research.

Position description

We are looking for a Senior Data Engineer, for our distributed team. We provide the opportunity to remote work in a small close-knit team of professionals
which preserving the spirit and freedom of the startup.

You will become a part of R&D squad (data engineer, data scientist and head of R&D). You will be responsible for all data and related processes in the company (data mining, ETL, data quality, data storages etc.).

You will support data scientist by providing infrastructure and tools he can use to deliver end-to-end solutions to business tasks that can be developed rapidly and maintained easily.

This is more than building and maintaining ETL pipelines. We need innovation, creativity, and solutions that will have a significant impact on our velocity.

We expect that you have strong industry experience in building efficient ETL solutions, hands-on experience with various data storages, and excellent knowledge of SQL.

We also expect that you have strong knowledge and understanding in the subject field of systematic equity trading (stocks, options etc.) and investments management.

This is a remote position in GMT+2 time zone (or close to it).

Responsibilities

  • Design, develop, test, deploy and maintain scalable, highly performant infrastructure for delivering clear business insights from a variety of raw data sources.
  • Develop batch & real-time analytical solutions, prototypes, and proofs of concept for selected solutions.
  • Build frameworks and tools to empower our data scientists and analysts.
  • Be in constant communication with team members and other relevant parties and convey results efficiently and clearly.

About the working process

Integration into the team.

At the beginning of the cooperation, you will dive into our data infrastructure and related issues to develop and
implement a step-by-step plan to improve and take the infrastructure to the next level.

Common process.

You will be work closely with a data scientist who will be generated requests for data. Your task is to find this data into external (or internal) sources, extract, transform, load etc. and do everything that is necessary to provide high-quality data for research.

Required Qualifications

  • Data engineering experience 3+ years.
  • 1+ years of experience in financial companies in the same or similar position.
  • Strong knowledge and understanding equity trading (stocks, options etc.) and investments management.
  • Experience with design of ETL architecture, data warehouse, data storages.
  • Experience with database design (SQL/NoSQL).
  • Hands-on Python experience.
  • Hands-on experience in other programming languages like C#, C++, bash or any other scripting languages.
  • Experience in teamwork tools (git, bitbucket, confluence).
  • Experience work within a distributed team.
  • Good to have experience with popular data providers (TickData, Quandl, Benzinga etc.).
  • Outstanding communication and interpersonal skills.

About the Hiring Process

Qualified candidates will be invited to an interview with a core team.
If we determine it is the right fit for both parties, we will invite you to join the company.

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