We are seeking a Senior Data Engineer with strong hands-on expertise in Databricks, PySpark, and cloud-based data platforms to support the development, migration, and optimization of our enterprise data platform within the investment domain.
This role will focus on building and maintaining scalable data pipelines and lakehouse data models that support investment analytics, portfolio management, risk analysis, and trading data workflows.
The successful candidate will work closely with data engineers, quantitative analysts, and investment stakeholders to deliver high-quality, reliable, and performant data solutions. Experience with financial datasets such as market data, portfolio holdings, transactions, pricing data, and risk metrics is highly valuable.
Data Engineering & Pipeline Development:
- Build, optimize, and maintain end-to-end data pipelines using Databricks, PySpark, and SQL across ingestion, curation, and consumption layers. - Develop and manage Declarative Pipelines (e.g., Lakeflow / DLT-style pipelines) to support scalable incremental processing and operational reliability. - Implement robust transformations and modelling patterns to deliver trusted datasets for downstream consumption (analytics, operations, reporting, applications).Data Quality, Controls & Operational Excellence:
- Implement data quality validation, monitoring, reconciliation, and alerting to ensure datasets meet required standards for completeness, accuracy, timeliness, and consistency. - Debug pipeline failures, resolve production incidents, and continuously improve pipeline stability, performance, and cost efficiency. - Apply best practices around auditability, lineage, and data correctness — particularly in time-series and historically tracked datasets.Data Modelling & Domain Delivery
- Contribute to the design and evolution of data models supporting the organization’s investment footprint (Public Markets, Private Markets, reference/master data, corporate actions, portfolio, pricing, risk, etc.). - Partner with business stakeholders to translate requirements into implementable data solutions while preserving maintainability and governance standards. - Support integration of multi-vendor and internal data sources into curated datasets that align with ADIA’s operational and analytical needs.Platform & Engineering Standards
- Follow and enhance engineering standards for version control, CI/CD, testing, documentation, and secure development practices. - Optimize compute and storage usage through partitioning/clustering strategies, incremental patterns, and performance tuning. - Contribute reusable libraries, patterns, templates, and approaches that improve delivery speed and consistency across the team.MUST
Mandatory Skills:
- Bachelor’s degree (Computer Science, Engineering, Information Systems, or related discipline).
- 5+ years experience in data engineering roles (flexible based on depth of capability).
- Strong hands-on experience with Databricks in production environments (prerequisite).
- Strong programming experience with PySpark (must) and strong SQL (must).
- Proven experience with Declarative Pipelines / pipeline orchestration on Databricks (prerequisite).
- Strong understanding of data engineering fundamentals: ingestion patterns, transformation
design, incremental processing, testing, performance tuning.
- Experience delivering production-ready datasets with appropriate operational controls
(monitoring, troubleshooting, reliability patterns).
- Experience in the investment management domain
- Experience with modern Lakehouse concepts (Delta tables, optimization strategies, file skipping,
metadata/statistics awareness).
- Exposure to data governance practices: cataloguing, documentation, business glossary/terms,
lineage.
- Experience working in enterprise environments with CI/CD pipelines and structured release
processes.
- Familiarity with vendor market data feeds (e.g., Bloomberg, Refinitiv, MSCI, FactSet) or similar
multi-source mastering patterns.
NICE TO HAVE- Strong Hands-on Expertise in Palantir Foundry. Proven experience with Foundry pipelines, ontologies, data lineage, transformations, and platform governance.
- Proven Migration Experience from Palantir / to Databricks. Demonstrated experience leading or executing platform migrations, including pipeline conversion, data model redesign, and production cutover.
- Familiarity with Dynatrace or Datadog for system observability and monitoring.
- Databricks certification, cloud certifications (Azure/AWS), or enterprise data architecture certifications.
Luxoft DXC
2000
Luxoft, a DXC Technology Company is a global digital strategy and software engineering firm with over 17,000 international employees within its 58 offices in 29 countries. It is headquartered in Zug, Switzerland.
In January 2019, Luxoft was acquired by U.S. company DXC Technology. Luxoft partnered with LG Electronics to create a next-generation Autonomous Mobility concept vehicle that integrates consumers' personalized digital lifestyles into a driving experience. Luxoft enabled Switzerland's first Blockchain based e-vote platform with the City of Zug and Hochschule Luzern's Blockchain Lab.
Luxoft, a DXC Technology Company is a world-renowned company. It has been present on the Polish market for over 13 years. We have offices in Krakow, Warsaw, Wroclaw, and Gdansk. We employ over 2,000 professional experts carrying out projects for over 100 clients from the financial, automotive, medical, tourist industries, etc. We work for many international clients, including the USA, Great Britain, and Switzerland.
So far, Luxoft Poland has made a name for itself as a company that offers work on innovative projects, we offer various experiences in the field of IT, opportunities for rapid development, an extensive training program, and attractive benefits for employees.
At present, 62% of Luxoft Poland employees come from Poland, and 38% from around 50 countries, including Ukraine, Brazil, India, Turkey, Spain, Portugal, Italy, Romania, USA, etc.
At Luxoft, a DXC Technology Company almost 80 percent of employees are experts with the "Senior" experience level, with at least five years of experience. We care about our employees, so every day we try to provide them with the best possible conditions for work and development.
Technology is our passion! We focus on top engineering talent means that you will be working with the best industry professionals from around the world. Because of that, Luxoft is a global family with an epic atmosphere – we love what we do!