Data Engineer Manager
Big data and analytics

What we offer

  • Interact with senior stakeholders at our clients on regular basis to drive their business towards impactful change
  • Become the go-to person for end-to-end data handling, management, and analytics processes.
  • Lead your team in creating the pipeline for Data management, data visualization, and analytics products, including automated services, and APIs.
  • Working with Data Scientists to take data throughout its lifecycle - acquisition, exploration, data cleaning, integration, analysis, interpretation, and visualization.
  • Become part of a fast-growing international and diverse team 

Who we are

We are Metyis. We are a dynamic and forward-thinking consultancy firm that operates across a wide range of industries, creating solutions that are tailored to specific needs. We bring long-lasting impact and growth to our partners and clients.
With our multidisciplinary teams we create bold strategies and innovative solutions that are tailored to our client’s needs and help them capitalizing opportunities. Together we strive to bring long-lasting impact and celebrate collective victories.
At Metyis we share an entrepreneurial mindset, a compelling passion to create, and, more importantly, a firm belief in our partnership-driven business model. This is embedded in our culture and safeguarded as we evolve. Our team counts over 450 ambitious professionals with various backgrounds, spread over several continents. Our work environment unifies creative problem-solving and strategic thinking. We provide resources to visionaries who understand the direction that the world is moving. Tomorrow’s world is data-driven. It is digital. It is international.
Become part of the journey, become part of Metyis. Partners for impact.

What you will do

  • Work in a multi-disciplined team where you will turn data discoveries and ideas into models and insights.
  • You’ll find how to leverage the data and the models to create and improve products for our customers, in lean development cycles.
  • Be able to implement/build methodologies as well as (understand how to) scale them together with the businesses;
  • Maintain a good, current, and demonstrable knowledge of adjacent application and market developments both for inspiration and for benchmarking the concepts.
  • Ingest data sources into our data management platforms
  • Structure data into a scalable and easily understood architecture

What you’ll bring

  • 4+ years of experience in a similar role with experience in developing and deploying ETL solutions on Azure.
  • Solid knowledge of data warehousing principles, concepts, and best practices (e.g. ODS, data marts, data lakes, data vault, 3NF)
  • Good understanding of common platforms and practices regarding digital development; Cloud-based setups, Advanced Analytics and computing environments, and GitHub (or similar) and CI/CD workflows.
  • Experience in setting up automated testing frameworks including unit tests, integration tests.
  • Understanding of modern cloud-based architecture (Lambda & Kappa architectures).
  • Advanced SQL, data transformation, and data profiling skills
  • Experience in building production ETL/ELT pipelines at scale
  • Data governance experience
  • 3-5 years of hands-on experience with Azure: Data Factory, Databricks, Synapse (DWH), Azure Functions, App logic, and other data analytics services, including streaming;
  • Experience with Airflow, Kubernetes, Great expectations is a plus
  • Programming languages: Python (pyspark), scripting languages like bash
  • Basic knowledge of PowerBI is a plus
  • Customer-centric, passionate about delivering great digital products and services
  • Demonstrating true engineering craftsmanship mindset
  • Passionate about continuous improvement and working collaboratively
  • Strong problem-solving skills coupled with the ability to convey designs and ideas to a wider audience
  • Comfortable with ambiguity, highly autonomous
  • A Bachelor's Degree in Computer Science, Mathematics, Economics, Engineering, Operations Research, Statistics, Business or other related technical disciplines (Master's Degree is a plus);
Apply to this positionWe are constantly looking for talented individuals who wish to become part of and help expand our platform.

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