ofertas de emprego: quality analyst

Data Engineer

Lisbon

Do you want to help shape software that affects thousands of lives?

Who are we?

We are ranked as the UK’s #1 construction specific software player and our mission is simple; to provide market leading end-to-end software solutions to the construction and construction like industries across the entire build life cycle.

If you are looking to build an exceptional career with an award-winning company you’ve come to the right place. Our teams are based in the UK, Europe, and India, working on products that are used on a global scale. We have a clear and defined road map to deliver over the next 3 years, which is centred around a large-scale digital transformation as well as continuing our growth and expansion.

We embrace diversity and equality and want our employees to be comfortable bringing their whole selves to work. We are committed to building a team with a variety of backgrounds, skills and views. Creating a culture of Equality isn’t just the right thing to do, it improves every aspect of our business.

Purpose

Our technology is used by thousands of companies and affects millions of lives. We are ranked as the UK’s #1 construction specific software player and our mission is simple; to provide market leading end-to-end software solutions to the construction and construction like industries across the entire build life cycle.

We are looking for a Data Engineer to design, develop, and maintain our data infrastructure and systems. You will work closely with our Data Scientists and Analysts to ensure the availability, accuracy, and integrity of our data. You will also play a key role in building and optimising data pipelines, data models, and data integration processes.

Key Responsibilities

• Ensure data quality, working with the Architects and Product teams as necessary to agree on the core ingestion interfaces.

• Implement data transformations.

• Implement data test frameworks.

• Work with Data Scientists to productize complex analysis insights into structured data sets.

• Ensure data are catalogued correctly and that the correct security and sensitivity labels are assigned.

• Producing data warehouses as needed to surface information for BI and API reports.

• Use PowerBI to develop data visualisations for internal and external use.

Key Skills, Experience and Qualifications

• Proficiency in data ingestion and ETL processes.

• Proficiency in Python and PySpark.

• Strong experience with SQL for data manipulation and querying.

• Strong experience with data lake architectures and data warehousing.

• Experience with PowerBI for report development is preferable

• Expertise in data transformation and validation.

• Experience with developing data test frameworks.

• Familiarity with cloud platforms (AWS, Azure, GCP) and their data services.

• AI or machine learning experience is desirable.

What you get from us:

If you're looking to build an exceptional career with an award-winning company you’ve come to the right place. We believe everyone at Causeway has a vital role to play in our success. Causeway is fuelled by curiosity and is a place for people who beam with positivity and burn with ambition.

Our team is everything, so we’ll take good care of you. In fact, we give well-being the same priority as our other business goals. We’re strong advocates of work-life balance, offering hybrid working alongside the opportunity to work from modern, collaborative offices.

Our Values

We are United. As part of a team, we’re better together.

We are Agile. Be the change, we’re on a journey.

We are Trusted. Do the right thing, we own this.

We are Driven. Get stuck in, we make it happen.

Like all responsible companies Causeway is aware of the need to recognise the importance of protecting our environment and addressing the climate emergency. Causeway is a carbon neutral company and we offset our calculated carbon footprint. However, we recognise that offsetting is not a permanent solution, so we set environmental objectives to reduce our footprint year-on-year.