Data Engineer/Junior–Middle

Join Data Never Lies as a Junior/Middle Data Engineer. Work remotely on diverse projects, focusing on Python and SQL to build robust data pipelines and enhance analytics capabilities. Data Never Lies is a UK based team that believes in the power of facts over guesswork. For years, we’ve been helping businesses dig into the darkest corners of their data (and yes, data does have dark corners—usually where no one bothers to clean up) to turn insights into action.

• •Connect to various data sources, extracting data via REST APIs, databases, files, and third-party platforms.
• •Process data and load it into a data warehouse for further analytics and BI reporting.
• •Ensure data pipeline stability with logging, error handling, retries, monitoring, and data quality checks.

• •A variety of projects: trust us, you won’t be bored.
• •A sane schedule: we focus on tasks, not hours—but showing up at noon every day isn’t exactly smiled upon.
• •A team that values expertise and humor: yes, we occasionally crack jokes about SQL—don’t worry if you don’t laugh right away.
• •Choose your adventure: Dive deep into a single, large-scale project or opt for a “discovery” mode, collaborating with multiple global clients across different domains.

• •Strong knowledge of Python and practical experience using it in data engineering tasks.
• •Experience building data pipelines for loading, processing, and transforming data.
• •Experience working with various data sources: REST APIs, databases, CSV/Excel/JSON files, cloud storage, and third-party platforms.
• •Hands-on experience integrating with REST APIs: authentication, pagination, rate limits, retries, timeout handling, and error handling.
• •Understanding of how to build fault-tolerant pipelines.
• •Experience setting up incremental data loading and handling partial loads.
• •Ability to work with JSON and semi-structured data.
• •Strong SQL knowledge: JOINs, CTEs, aggregates, and window functions.
• •Experience loading data into databases or data warehouses such as PostgreSQL, BigQuery, Snowflake, Redshift, MS SQL, or similar systems.
• •Understanding of ETL/ELT approaches.
• •Experience with logging, monitoring, and basic troubleshooting of pipelines.
• •Experience working with Git.