Senior Data Engineer at 28Stone

Riga, , Latvia -

Full Time

Start Date

Immediate

Expiry Date

08 Feb, 26

Salary

4200.0

Posted On

11 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Data Warehouse, SQL, Python, Azure, AWS, GCP, ETL, Data Pipelines, Data Modeling, PySpark, Kafka, Cloud Platforms, Analytical Skills, Problem-Solving, API Integrations

Industry

IT Services and IT Consulting

Description

28Stone is one of just 4 capital markets companies in Latvia. But what really sets us apart is that all of our clients are in the US and UK. So we are operating on a truly global scale, building financial solutions for some of the most developed markets in the world. We are an IT consulting company specializing in capital markets technology and financial infrastructure-basically, we help major financial institutions operate more efficiently by creating custom software solutions. The capital markets space in Latvia is still pretty small, so working at 28Stone gives you a unique mix- you get to be part of a focused team, but also work on international projects that make a real impact. We celebrate winning the Top 1% Workplace Awards 2024 in the “Best Workplace for Talent Investment” category and are always seeking to expand our team with positive, open-minded and motivated individuals who are eager learn as well as share what they know. Your Impact Zone Design and develop Enterprise Data Warehouse solutions. Develops and maintains scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity. Develop transformation processes using PySpark or SQL as per business data model requirements. ELT/ETL pipeline development experience using Azure Data Factory, Databricks workflow, etc. Experience in analyzing/researching solutions and developing/implementing recommendations accordingly. At least 4 years of data engineering experience. Strong analytical and problem-solving skills. Data Warehouse principles and data modeling experience. Advanced SQL expertise. Scripting language (e.g., Python, PowerShell) experience. Working experience with any cloud platform Azure, AWS, GCP. Ability to work both in a team and individually. Good written and spoken English communication skills - to communicate with international clients and colleagues. Considered an advantage Azure Cloud platform experience. Azure Databricks experience. MPP Data Warehouse solutions like Snowflake, RedShift, Databricks Unity Catalog. Capital markets industry knowledge or experience. Understanding and experience in implementing medallion architecture to ingest and transform data. Real-time data ingestion using Kafka. Flexible work schedule and the possibility of working from home in Latvia or one of our offices (Riga, Daugavpils). Health insurance and mental wellness platform from Day 1: sport/dentist/vaccination/accident plans + massage chair in the office. Annual training budget. Technology communities: friendly and experienced team members who support your professional growth. Sports community: Squad Hour gym membership deal, 28Stone volleyball team, various public sports events, and monthly challenges. Social events: bi-weekly lunches, board game nights, team buildings, company-wide events. Loyalty rewards program: referral bonuses, gifts and merch on your work anniversary. Paid mobile phone bills. Additional one day of paid sick leave for emergency cases. Modern & ergonomic office space: all the resources and tools to perform your tasks. Additional perks in the office: free snacks, fruits, tea, coffee, board games, novuss table and Xbox. Compensation Gross EUR 3000- 4200 Monthly We are flexible and use an individual approach with each candidate we meet, so we invite you to apply even if you do not meet some of the listed requirements. Only candidates who have the right to work in Latvia are considered for this position. The mentioned remuneration may vary depending on the candidate’s skills, qualifications, and experience.

Responsibilities

Design and develop Enterprise Data Warehouse solutions while maintaining scalable data pipelines. Develop transformation processes using PySpark or SQL to meet business data model requirements.