Senior Data Engineer
At a glance
Senior Data Engineering role at act digital. Lisbon.
Pay not stated Data Engineer salary
dataroles summary, based on the employer's posting.
What you'll do
- Build, maintain and support pipelines that process large datasets from internal sources
- Turn business needs into data architecture that meets requirements and delivers reliable, useful data
- Serve as a contact for business teams and explain technical details to analysts, product managers and leaders
- Juggle several projects, setting priorities and meeting deadlines while delivering quality work
What you bring
- At least three years in data engineering, with solid experience designing data architecture
- You are proficient in SQL and have used Python for data analysis, preferably with Pandas
- You have professional experience with a visualization platform such as Tableau or Power BI
- You hold an academic qualification in engineering, economics, computing, mathematics, statistics or a related area
- You are fluent in spoken and written English
Who this fits
This role suits a senior data engineer who can work with business stakeholders, communicate technical concepts clearly and organize several projects at once. The position is based in Lisbon and follows a hybrid model, with the option to work in person at the Lisbon or Porto office.
From the employer
act digital is a multinational company present in 12 countries, which combines local agility and global expertise to act as a strategic partner for our clients in delivering customized and scalable solutions.
In Portugal, we have around 120 clients and a team of over 400 people, working on projects in sectors as diverse as Banking, Insurance, Transport, Aviation and Energy.
We are looking for a Senior Data Engineer to join our team!
The team aims to build a solid database from various sources and develop analysis, reports and dashboards to provide valuable insight to the Front Office in a rapid, agile manner.
Our team is responsible for multiple steps regarding data processing: Data Feeds industrialization, ETL, Data Warehousing and Data Visualization. We are in direct contact with business sponsors, sales, and traders.
We seek to shape the technologies available to the client’s needs - we plan in processing the data using Python and SQL, while delivering the final product in Tableau, Power BI, APIs, and Chat bots.
Main Tasks:
- Leverage large volumes of data from internal sources.
- Develop, maintain, and support data pipelines.
- Understand and be the point of contact for the business and assess its needs
- Ensure architecture meets business requirements.
- Recommend ways to efficiently provide quality data and added value.
- Communicate technical information to non-technical stakeholders, including data analysts, product managers, and business leaders
- Prioritize and manage multiple projects simultaneously, meeting deadlines and delivering high-quality results
Technical Skills:
- Academic background in Engineering, Economics, Computing, Mathematics, Statistics or related fields
- 3+ years of experience in data engineering, with a strong background in data architecture
- Availability to work in the hybrid model or in person in the Lisbon or Porto office
- Professional experience in any data visualization tool such as Tableau or Power BI
- Professional experience in data analysis with programming, preferably Python (Pandas)
- Proficiency in SQL
- Fluency in written and spoken English
- Ability to analysze, synthetize and simplify
- Knowledge of descriptive statistics and hypothesis testing is a plus
- Knowledge in Big Data technology such as Pyspark, Presto and Airflow is a plus
- Knowledge of Power Query and DAX is a plus
- Excellent communication and interpersonal skills, with the ability to work effectively with cross-functional teams
- Strong organizational skills, with the ability to prioritize multiple projects and meet deadlines
Language Skills
- English (fluent)
Soft Skills:
- Be driven, enthusiastic and dynamic in search of improving processes, controls & procedure
- Be pro-active, enthusiastic and able to work well in a team
Location: Lisbon, hybrid working model
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