Description
We are looking for a Senior Data Engineer to design, build and operate secure, scalable and governed data solutions supporting Financial Markets Client Control (FMCC). The role will focus on end-to-end data engineering, data quality, controls, regulatory outcomes and actionable business insights.
Responsibilities
•Design, develop and maintain scalable data pipelines and data products covering ingestion, transformation, storage, orchestration and consumption.
•Build production-grade ETL/ELT pipelines for batch and, where applicable, streaming workloads.
•Translate business and regulatory requirements into robust data models and technical solutions.
•Implement data quality, lineage, traceability, monitoring and operational controls.
•Design and optimize data lakes, data warehouses and distributed data-processing solutions.
•Drive engineering best practices including automated testing, code reviews, Git/version control, CI/CD, monitoring and observability.
•Manage the deployment lifecycle across development, test, acceptance and production environments.
•Perform technical impact assessments and work with business, architecture, BAU and change teams.
•Provide technical direction, solution design and reusable engineering patterns.
•Collaborate with analysts, data scientists, product owners and business stakeholders.
•Support BI, advanced analytics and future AI/GenAI data use cases.
•Provide technical leadership, mentoring and knowledge sharing within the engineering team.
•Contribute to Agile ceremonies and promote proactive delivery, transparency and continuous improvement.
Requirements
•8+ years of professional experience in Data Engineering, Cloud Engineering, Data Analytics or a closely related technical field.
•Strong hands-on expertise in Python and SQL.
•Strong hands-on experience with PySpark and Apache Spark.
•Proven experience designing and delivering production-grade ETL/ELT pipelines.
•Strong knowledge of data modelling, including normalization, denormalization and data integration.
•Strong understanding of data lakes and data warehouses.
•Experience with Apache Airflow or equivalent workflow orchestration.
•Experience with cloud data platforms, preferably GCP/BigQuery, with exposure to AWS and/or Azure.
•Hands-on experience with dbt.
•Experience with relational/non-relational databases such as MS SQL, Hive or equivalent.
•Experience with object storage such as Amazon S3.
•Experience with Docker and Kubernetes.
•Strong knowledge of CI/CD, Git/version control, automated testing and deployment.
•Experience with distributed systems and large-scale batch processing.
•Strong understanding of software engineering practices, production support, monitoring and data quality.
•Strong communication skills with fluent English.
•Proactive, hands-on and delivery-focused mindset.
•Ability to simplify complex technical problems and drive decisions to conclusion.
•Strong stakeholder management skills across technical and business teams.
•Comfortable working in international, cross-functional environments.
•Able to communicate technical concepts clearly to non-technical stakeholders.
•Strong ownership, resilience and problem-solving capability.
•The ideal candidate is a Senior Data Engineer with 8–12+ years of experience who combines strong hands-on expertise in Python, SQL, PySpark/Spark, ETL/ELT, Airflow, cloud data platforms, dbt, CI/CD and distributed data processing with experience in banking, financial services, regulatory data or client-control environments.
Nice to have
•Experience with Power BI, Tableau, Looker or Cognos.
•Previous experience in banking or financial services.
•Experience in Financial Markets / Wholesale Banking.
•Exposure to KYC, client lifecycle, client controls or transaction monitoring.
•Knowledge of financial regulations such as EMIR, MiFID/MiFIR, SFTR, AFSL or MAS.
•Exposure to Group Treasury, Global Capital Markets, brokers, CCPs or trading venues.
•Experience supporting AI, advanced analytics or GenAI data initiatives.
•Experience working in Agile/DevOps environments.
•Demonstrated technical leadership, mentoring and solution architecture experience.
Conditions
No conditions stated in the posting.
