About the role

The Data Engineer will build, maintain, and scale data pipeline infrastructure to support extraction, transformation, and loading processes. They will also perform data quality assessments and provide high-quality data to business analytics and data science teams.

What they look for

Data Engineering ETL Python Scala Java Big Data GCP AWS Hadoop Data Quality Data Pipelines SQL Data Modeling Cloud Computing Business Analytics

Requirements

Candidates must hold a bachelor's degree in Information Technology or a related field and possess at least 2 years of experience in data engineering or ETL. Proficiency in programming languages like Python, Scala, or Java and experience with cloud platforms such as GCP or AWS are required.

Full description

LLA´s Advanced Analytics area is responsible for delivering measurable and actionable value to all the group´s business functions (commercial, finance, operations, networks, etc..) through data and analytics-based enhancements. Those enhancements will be a mix of AI/ML models and operationalized strategies which allow the different areas to improve their decisions and actions.

To achieve this goal, the area needs to have strong data ETL (Extraction, Transformation and Loading) capabilities to address the architectural and information availability challenges existing in a complex multi-market and multi-system telecom company. Therefore, we are looking for a Data Engineer who will be responsible for building, improving and maintaining a scalable data pipeline infrastructure required for extraction, transformation, and loading data, with data engineering background and proven experience in big data ETL in telecom or similar industries.

Provide data to business analytics and data science teams to ensure the optimal way to consume for the business needs.
Perform data quality assessments and required clean-up/recovery exercises to supply the required data for the data science group to perform their duties
Build and maintain the ETLs / pipelines from many sources
Strive to get everything working on automatic ways.
Permanently enable the Data Science team´s and Business Analytic´s teamwork through timely and high-quality input data delivery

Bachelor's degree in Information Technology or related technical field
Proven education or certifications in data management and cloud
Proficient or mid-level English skills
2+ years of proven experience in Data ETL / data engineering
Proven experience in Data ETL transformations or operation
Knowledge in one or more programming languages (Python, R, Scala, Java, C/C++ or similar)
GCP Toolset (DataFlow, BigQuery, Airflow, GCS, Kubeflow is a plus)
AWS Toolset (S3, Lambda, Step Functions, Glue, Athena, SageMaker is a plus)
Hadoop environments EMR / HDInsights / Dataproc
Experience in BI-Reporting is a plus.
To quickly understand business objectives and to recognise and capitalise data driven solutions from it
A dynamic, competitive edge to personal style with the ability to assist and sympathise with peers’ and other colleagues’ business circumstances and pressures
Have the personal drive and ambition to progress within the organisation

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Skills & Abilities:

Ability to quickly understand business objectives and to recognise and capitalise data driven solutions from it
A dynamic, competitive edge to personal style with the ability to assist and sympathise with peers’ and other colleagues’ business circumstances and pressures
Have the personal drive and ambition to progress within the organisation