Data Dev Engineer

Admiral Europe Tech | Admiral Group; Sevilla; On-site; EUR 45,000 - 65,000; Full time

Job summary

Admiral Europe Tech | Admiral Group is seeking a data engineer to design and build data ingestion, transformation, and virtualization pipelines that support raw data ingestion and curated data for KPI-driven analytics.

You will work with a European data platform, leveraging AI to accelerate development, and collaborate with the Data Architect and Product Owner to refine data models and deliver scalable solutions across teams.

Qualifications

• Must have SQL.
• Must have Python.
• Data modeling knowledge.
• BI tool: Tableau.
• AWS Cloud Services: Glue, Athena, S3, DynamoDB, RDS, SNS, CloudWatch.
• Denodo.
• Airflow.
• Git.
• Generative and Agentic AI tools.
• Nice to have: Databricks, Snowflake, dbt.
• AWS Cloud Services: EC2, IAM, SQS, ECS, ECR, CloudFront, Kinesis, RedShift.
• PySpark.
• Gitflow.
• Jupyter Notebook.

Responsibilities

• Design and implement data ingestion, transformation and virtualization projects.
• Take advantage of AI tools to speed up the development processes and testing.
• Develop, maintain and document complex data models, views, and integration flows.
• Performance tune data access and query performance to meet service level agreements.
• Troubleshoot and resolve data ingestion, transformation and virtualization issues in a timely manner.
• Address questions and solve complex issues related to data visualization and reporting.
• Provide recommendations on best practices for data visualization tool usage, ensuring data security and scalability within the platform.
• Collaborate with cross-functional teams to gather requirements and deliver solutions.

Skills

Data modeling knowledge

Agile mindset

English language

Tools

SQL

Python

Tableau

AWS Glue

Athena

S3

DynamoDB

RDS

SNS

CloudWatch

Denodo

Airflow

Git

Generative AI tools

Agentic AI tools

Databricks

Snowflake

dbt

EC2

IAM

SQS

ECS

ECR

CloudFront

Kinesis

RedShift

PySpark

Jupyter Notebook

Job description

Role Description

Build the data processing pipelines for data preparation and transformation, including raw data ingestion and curated data. Be also responsible for implementing the data products which contain the KPIs and key analysis defined by the business.

Build the data processing pipelines for data preparation and transformation, including raw data ingestion and curated data. Be also responsible for implementing the data products which contain the KPIs and key analysis defined by the business.

Key Objectives

• Develop the data ingestion processes to stream the data in the Data lake.
• Creation and structure the curated layer.
• Create the data products which will cover the KPIs defined by business.
• Focus on the development of the target architecture following the design set up by the Data Architect.
• Participate in the events with the team ceremonies: Iteration planning, Retrospectives, Daily or stand up meetings..
• Communicate with Scrum Master to elevate impediments or improvement for the team.
• Work closely with the Product Owner to execute the task assigned to achieve the goal of the team.
• Provide your tech point of view when a new product is designed, helping the Data Architect to refine the data model.

Main Responsibilities

• Design and implement data ingestion, transformation and virtualization projects.
• Take advantage of AI tools to speed up the development processes and testing.
• Develop, maintain and document complex data models, views, and integration flows.
• Performance tune data access and query performance to meet service level agreements.
• Troubleshoot and resolve data ingestion, transformation and virtualization issues in a timely manner.
• Address questions and solve complex issues related to data visualization and reporting.
• Provide recommendations on best practices for data visualization tool usage, ensuring data security and scalability within the platform.
• Collaborate with cross-functional teams to gather requirements and deliver solutions.

Requirements:

This is you!

• You are enthusiastic to work in an European team (fluent in English language) to develop the technical capabilities in a common European Data Platform.
• You have an Agile mind-set and you are open to new ideas and creative ways to work.
• You are organized and get things done!
• Must have:
• SQL.
• Python.
• Data modeling knowledge.
• BI tool: Tableau.
• AWS Cloud Services (Glue, Athena, S3, DynamoDB, RDS, SNS, CloudWatch,).
• Denodo.
• Airflow.
• Git.
• Generative and Agentic AI tools.
• Nice to have:
• Databricks.
• Snowflake.
• dbt.
• AWS Cloud Services (EC2, IAM, SQS, ECS, ECR, CloudFront, Kinesis, RedShift...).
• PySpark.
• Gitflow.
• Jupyter Notebook.