Data Engineer - Level Mid Or Senior

Detalhes da Vaga

Porto/Lisbon, Portugal | Posted on 08/12/2024

LGG Advisors, with offices in Porto, Lisbon, London, and Madrid, provides a multitude of high-added-value consultancy services to financial sector firms globally. Our team provides an array of comprehensive services catering specifically to our client's unique and evolving circumstances which require creative and careful consideration, decision making, and guidance.

LGG provides a comprehensive range of services in Digital Transformation. Our expertise spans areas such as Software Development, Data Analytics, AI & Machine Learning, Cloud Computing, and Business Intelligence. We leverage cutting-edge technologies and employ agile methodologies to ensure flexibility and adaptation to the new tools and skillsets the market requires.

As our business continues to grow, we are actively seeking a Data Engineer to offer direct support to the Head of Digital Transformation.

We are looking for a talented and experienced Data Engineer to join our Digital Transformation team. The ideal candidate will be responsible for designing, building and maintaining scalable and efficient data systems. This is an opportunity to contribute significantly to digital transformation projects, working with cutting-edge technologies in a collaborative environment.

RESPONSABILITIES

Design, build and maintain robust, scalable and efficient data pipelines

Develop and optimise databases and data models to support advanced analytics

Integrate data from multiple sources, ensuring quality, consistency and security

Collaborate with data science, analytics and development teams to understand and meet data needs

Implement and manage data platforms in on-premises and cloud environments

Monitor and improve the performance of existing data systems

Document processes and data structures, ensuring the transferability of knowledge

QUALIFICATIONS

Bachelor's degree in Computer Science, Information Technology, or a related field

Knowledge of other Data skills languages and technologies

Minimum of 3 to 5 years of experience in data engineering, or a related data field

Experience with Agile methodologies (Scrum, Kanban)

Familiarity with CI/CD tools

REQUIREMENTS

Degree in Computer Science, Engineering, Mathematics, or related areas

Proven experience as a Data Engineer, with solid knowledge of designing and implementing data pipelines

Proficiency in programming languages such as Python, Java, Scala, etc.

Experience with big data tools and technologies such as Spark, Kafka, Hadoop, etc.

Familiarity with SQL and NoSQL databases e.g., Redis, Cassandra, RedShift, SQL Server, BigQuery, etc.

Experience with cloud platforms (AWS, Azure, Google Cloud)

Knowledge of ETL and data warehousing practices

Knowledge of data architecture, big data, data warehouse and data lakehouse

Experience with ETL tools such as Airflow, NiFi, DBT and others

Ability to work in an agile environment and collaborate with cross-functional teams

Excellent problem-solving and analytical thinking skills

DIFERENTIALS

Certifications in cloud platforms or big data technologies

Experience with data visualisation tools (e.g. Tableau, Power BI)

Knowledge of machine learning and artificial intelligence

Experience in digital transformation projects

Familiarity with tools and services such as Databricks, Snowflake, BigQuery, ElasticSearch and Redis

WHAT WE OFFER

Fast-growing company with a presence in Porto, Lisbon, London, and Madrid, that works on complex and stimulating projects for sophisticated clients in the US and Europe

Competitive salary and benefits which vary according to individual performance

Opportunity to work from home 50% of the time

Career Development Plan, Training Programs and Sponsorship

LGG Advisors aims for a diverse workplace. All qualified applicants will receive consideration for employment without regards to race, gender identity, sexual orientation, religion, nationality, age or disability.

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Salário Nominal: A acordar

Fonte: Allthetopbananas_Ppc

Função de trabalho:

Requisitos

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