Mid Data Engineer
Primary stack
Nice to have's
Job description
About the Position
Join Cloudfide as a Mid Data Engineer to work on cloud-native data platforms using Big Data and the latest technologies like AI, ML, and MLOps. We design and deliver advanced data platforms for international clients, including major players in retail and Fortune 500.
Responsibilities
- Building and launching data pipelines and data models in cloud environments (Azure is our main ecosystem).
- Close collaboration with clients - gathering requirements, discussing solutions, communicating progress clearly.
- Implementing best practices in data engineering: data integrity, quality checks, testing, documentation, and data lineage.
- Optimizing existing analytical solutions for performance, cost efficiency, and reliability.
- Contributing to cloud architecture design and standards (security, governance, scalability).
- Working with CI/CD, automation, monitoring, and production-ready processes (DataOps).
- Supporting integrations across BI/ML/DevOps teams.
Requirements
- 2+ years of experience as a Data Engineer or in a similar data engineering-focused role.
- 1+ year of experience working with cloud platforms - we use Azure, but AWS or GCP experience is also welcome.
- 2+ years of Python - strong coding skills and confidence in writing clean, production-ready code.
- 2+ years of SQL and hands-on experience with relational databases (SQL Server, PostgreSQL, or similar).
- Understanding of DWH data modeling and ETL/ELT development.
- General awareness of cloud architecture, networking, and security concepts.
- Creativity, openness to innovation, and a willingness to grow in dynamic, fast-evolving projects.
Nice to Have
- Experience with Databricks, Apache Spark or PySpark.
- Knowledge of Apache Airflow (orchestration).
- Familiarity with Azure DevOps or GitHub Actions (CI/CD).
We Offer
- Professional Growth:
- Access to top e-learning platforms and development budget
- Real ownership opportunities - expand your scope, drive solutions, lead initiatives; most of our Leads are promoted internally
- Work Environment:
- Long-term collaboration via B2B - we value lasting partnerships
- Remote-first
- Flexible hours
- Work alongside exceptional engineers and experts
- Flat structure where every person matters and influences the company
- Culture & Integration:
- Full-company integration trips (including international ones)
- Team-level integration budgets
- Open, supportive, and collaborative culture
About the Company
At Cloudfide, you’ll work where data truly has impact, scale, and purpose. We design and deliver advanced Big Data and cloud-native data platforms for international clients, including major players in retail and Fortune 500.
We process massive datasets, operate fully in the cloud ecosystem, and use the latest technologies, including AI, ML, and MLOps.
Equal Opportunities
CLOUDFIDE is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
© Cloudfide. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.
Hi, I am looking for medium or senior IT engineer with experience in the one of following technologies:— SQL, T-SQL, PL/SQL or any other data transformation oriented technologies— Azure, AWS, GCP Cloud— Python / Python (Django) / PySpark— DevOps (CI/CD, Gitflow, Azure Pipelines, Chef, Puppet, etc)— Bigdata (Spark, Databricks, Hadoop, Kafka)— PowerBI / DAX / M / Power Query— Datawarehouse — Azure Synapse (DW), AWS Redshift, GCP BigQuery, Swowflake, Oracle, Teradata— AI / MLIf you are such person feel free to contact me directly as soon as possible. We will help you to accommodate in Poland (if needed) and give permanent job on good salary conditions. Work performed remotely. First come, first served, 20 vacancies are waiting.