Who We’re Looking For:

We are seeking a Senior Data Engineer to join the Data Team. In this role, you will be responsible for designing, building, and maintaining data infrastructure to support large-scale data analysis. You will play a key role in managing ETL processes, data pipelines, and data warehousing while working with cutting-edge technologies such as Spark, Hadoop, and NoSQL databases. You will collaborate closely with data analysts, engineers, and business stakeholders to align the data strategy with company goals.

About the company: 

My client is a leading global platform for investors, providing real-time market analysis, financial insights, and expert-driven content. Their goal is to empower investors with the data and tools needed to make informed decisions. At the same time, they are committed to fostering a flexible and growth-oriented work environment, offering remote opportunities and a strong focus on professional development.

Your Responsibilities

• Work with business analysts and stakeholders to identify and prioritize data engineering projects.
• Support data-driven decision-making to improve user engagement and increase subscriptions.
• Develop and maintain scalable, reusable, and well-documented data pipelines that efficiently process data from multiple sources, including APIs, data streams, and storage solutions.
• Optimize SQL queries and apply performance tuning to manage costs and ensure efficient processing across multiple database technologies.
• Monitor and enhance the performance, reliability, and security of the data infrastructure.
• Stay up to date with industry trends and implement new data engineering innovations to improve efficiency.
• Apply data privacy and security measures to comply with industry regulations and best practices.

What You Bring

• 5+ years of experience in data-focused roles such as Data Engineer, Database Developer, BI Engineer, or DBA.
• Strong Python skills, including experience with data frameworks and AWS SDK.
• Advanced SQL knowledge, with experience across various RDBMS and big data technologies (e.g., Hive, Athena, Spark, Presto, Dremio).
• Deep experience with AWS services, including EC2, S3, RDS, EMR, Glue, Lambda, ECS/EKS.
• Strong knowledge of Apache Airflow for data pipeline orchestration.
• Expertise in data warehousing, including modern platforms such as Snowflake, Databricks, Redshift, Google BigQuery, Azure Synapse Analytics, ClickHouse, or IBM Db2 Warehouse.
• Problem-solving mindset with a strong software engineering background.
• Comfortable working both independently and collaboratively in a team setting.
• Fluent English – must be able to communicate effectively.

Nice to Have

• Experience with AWS Athena, Redshift, or Vertica Analytics Database.
• Familiarity with Spark APIs (Scala or PySpark).
• Exposure to machine learning and data science projects.
• Knowledge of data governance, security, and compliance regulations such as GDPR and CCPA.

Job Details

• Location: Fully remote, hiring candidates based in Poland
• Contract: B2B
• Industry: Finance, investing, and market analysis.
• Work Environment: Flexible, fast-paced, and growth-focused.
• Benefits: paid holidays and sickleaves 

If you're an experienced Data Engineer passionate about scalable data solutions, analytics, and cutting-edge technologies, apply now to join a team shaping the future of financial insights.