Associate Data Engineer

Data & Analytics

Mid

Istanbul

Who we are

The next step of your career starts here, where you can bring your own unique mix of skills and perspectives to a fast-growing team.

Metyis is a global and forward-thinking firm operating across a wide range of industries, developing and delivering AI & Data, Digital Commerce, Marketing & Design solutions and Advisory services. At Metyis, our long-term partnership model brings long-lasting impact and growth to our business partners and clients through extensive execution capabilities.

With our team, you can experience a collaborative environment with highly skilled multidisciplinary experts, where everyone has room to build bigger and bolder ideas. Being part of Metyis means you can speak your mind and be creative with your knowledge. Imagine the things you can achieve with a team that encourages you to be the best version of yourself.

We are Metyis. Partners for Impact.

What we offer

Interact with C-level at our clients on regular basis to drive their business towards impactful change
Contribute to creating new business solutions via data-driven insights
Seize opportunities at the client and at Metyis in our entrepreneurial environment
Become part of a fast-growing international and diverse team

What you will do

Data Engineers identify data ingestion opportunities that unlock insights, extract them, and organize them in a way that’s widely available, scalable , and that answers any critical use case. You will also team up with data scientists to ensure a constant feed of fresh data into machine learning models and support the organization of any performance-related metrics and data. 
Support our clients in executing their Big Data strategies by designing and building reusable components, frameworks, and libraries at scale to support analytics products. 
Design, build and launch extremely efficient and reliable data pipelines to move data across several platforms including data warehouses, data lakes, operational systems, online services, and real-time systems. 
Anticipate, identify, and solve issues concerning data management to improve data quality. 
Organize and lead sharing sessions with peers, customers, and functional partners and contribute to evangelizing data engineering practices.  
Guide and mentor new team members.
Collaborate closely with partners, strategy consultants, and data scientists in a flat and agile organization where personal initiative is highly valued.

What you’ll bring

BA or MS in Computer Science, Information Technologies, or relevant fields.
3-5 years of professional experience in the software/data engineering domain.
Excellent command of English both verbal and written.
Proven experience in software development and practices and distributed programming with at least one programming language (e.g., R, Python, Java, or C#). 
Proven experience in SQL.
Experience working setting up data lakes using entire Big Data (e.g., Hadoop, Spark, Presto, Hive, Impala, etc.) and DWH ecosystem.
Experience using Version Control, Testing, and development cycle, preferable git (Gitlab or GitHub).
Comfortable with Unix OS-type systems, Bash, and Linux.
Experience working on Hyperscalers – Azure, AWS, GCP is an asset.
Experience in data workflows and ETL, Apache Airflow is an asset.