Data Engineer · ·

Data Engineer
European Remote
$4,500 to $7,000 per month
Typical hours are Monday-Friday working GMT/BST with potential on-call support required
We are looking for a Data Engineer to join our Data Platform team, responsible for the storing and processing of most of our data. You will work with other Data Engineers using tools such as Python, SQL, Airflow and Prefect to ensure quality and collaborate with other teams across the business.
What you’ll be working on:
Implementing and supporting ETLs and Data Quality monitors
Conducting research into the technical stack of our data platform
Collaborating with Product Owners and Data Analysts from across the business
We are looking for someone who has the potential to grow to the next step in their career. Once you feel comfortable within the team and are accustomed to the tasks, you will have the opportunity to take more ownership over the team’s backlog and roadmap, as well as take on line management responsibilities of more junior team members if this appeals. This will be a great opportunity to showcase your growing leadership skills!
About the Data Platform team:
You will join a team of five Data Engineers, varying in seniority. In time, as you become more familiar with the company, you may take over responsibility for line management of some of them, should this suit your career goals
We have four additional technical delivery teams and as the data platform is the centre of all data flows, you will regularly interact with other Team Leads and Product Owners
You will also have regular interaction with our fantastic Data Analysts and Technical Business Analysts
You should apply if you have:
3+ years of data engineering, analytics or machine learning experience
Advanced skills in Python and SQL
Experience with Airflow, Prefect or other task orchestration tools
Familiarity with modern data stack – you know the current trends and what tools to use for the job
A proactive approach, with the ability to set and exemplify high standards
The ability to work in a fast-paced environment and adapt to change quickly
Excellent communication skills, with the ability to communicate clearly and effectively
Ability and desire to mentor/support more junior or less technical employees of the company
These skills will help, but aren’t essential, as we can offer training:
Prior experience working for a data product company
Experience building or maintaining third-party or in-house data quality and cataloguing solutions
Experience with documentation of system architecture
Pandas, Jupyter, Plotly
DBT, Kafka
BI tools such as Tableau, Metabase and Superset
The current tech stack:
Airflow
Clickhouse
DBT
Python
MongoDB
PostgreSQL
MariaDB
Kafka
K8s
AWS
FXC Intelligence is a leading provider of cross-border payments data and intelligence, providing some of the world's biggest companies, central banks and non-governmental organisations with the strategic insights, expertise and awareness to effectively compete in their chosen markets. By joining us, you will be diving into a world of data-driven exploration and innovation, revolutionising financial insights through cutting-edge technologies, machine learning and predictive analytics.
Your contributions will shape the future of cross-border finance, helping clients to uncover better paths to growth and profitability, as well as being a trusted reference and source for many of the leading international publications.
We are proud to produce industry-changing data and intelligence, aided by our company values of being customer-focused, taking ownership, knowledge, communication and leadership.
We’re an innovative company that strives to look after its team and we take pride in providing a positive company culture.
At FXC Intelligence, we believe in embracing diversity in all forms and fostering an inclusive environment. All applicants will be considered for employment without attention to ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity status or disability status.

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