TL;DR

Data Engineer (Data Science/ML): Building and optimizing data systems and pipelines with an accent on data quality, complex data analysis, and predictive modeling. Focus on designing distributed data processing platforms, collaborating with data scientists, and delivering scalable data solutions.

Location: United Kingdom

Company

%hirify_global% is a fast-growing consultancy in Europe with over 1650 employees, specializing in operationalizing strategy, process design, digitization, data and analytics, automation, technology, and change.

What you will do

Analyze and organize raw data, build data systems and pipelines.
Evaluate business needs and interpret trends and patterns.
Conduct complex data analysis and prepare data for prescriptive and predictive modeling.
Build algorithms and prototypes, combine data from different sources.
Enhance data quality and reliability, identify data acquisition opportunities.
Develop analytical tools and collaborate with data scientists and architects.

Requirements

Location: Must be based in the United Kingdom
Proven experience in Data Engineering teams.
Experience with relational and MPP databases (Snowflake, Redshift, Big Query).
Proficiency in SQL, data modeling techniques, and cloud/big-data tools (Databricks, Spark, Airflow).
Understanding of Agile delivery best practices and strong problem-solving skills.
Ability to communicate technical solutions to non-IT business experts.