Senior Data Engineer

Market insights

Stack

Free. Sign in with email.

Apply

Upload your CV — we will connect you with the employer directly through our pool.

Description

What you will be working on We are looking for a Senior Data Engineer to design, build, and scale enterprise data platforms and pipelines. You will shape data architecture, drive data integration and quality, and develop scalable solutions to support analytics, business decisions, and AI-enabled applications. Design data architectures, data models, and scalable data pipelines using ETL/ELT, APIs, and batch or streaming integrations. Build and maintain data platforms, including data lakes, data warehouses, and data integration frameworks. Develop data products, analytics workflows, and AI-enabled solutions using machine learning and LLM technologies where relevant. Optimise pipeline performance, data quality, reliability, and system scalability. Implement DataOps practices, automation, monitoring, and CI/CD for data pipelines. Establish data governance, security, privacy, and quality standards. Work closely with product, engineering, business, and infrastructure teams to translate requirements into technical solutions. Lead technical discussions, review architectures, mentor engineers, and drive delivery best practices. What we are looking for At least 7-8 years of experience in data engineering, data architecture, or building enterprise data platforms. Strong data modelling skills across OLTP, OLAP, and dimensional modelling. Experience with cloud data platforms and services such as AWS, Glue, Redshift, Snowflake, Databricks, or Azure. Proficiency in Python, Scala, or Java, w

Full description, company and the link to apply — after you sign in. Sign in

Employer contacts (email/phone/telegram) are hidden from the public preview — send your CV, and we will connect you directly.