[C3A] Senior Data Platform Engineer (Microsoft Fabric)

Software Mind; Warszawa; Remote; PLN 180,000 - 280,000; Full time

Benefits offered by this job

Private healthcare

Multisport card

Language classes

Knowledge-sharing initiatives

Job summary

Software Mind is seeking a senior data engineer to design and implement end-to-end data architectures on Microsoft Fabric, including Bronze/Silver/Gold tables and feature pipelines. You will build and optimize pipelines, semantic models, and Direct Lake patterns, collaborating with DevOps on IaC and capacity decisions.

Strong PySpark/SQL skills and a payments/financial services background are desirable. You will engage in cross-project delivery across international client engagements, ensuring

Qualifications

• 5+ years of data engineering experience including hands-on Spark development.
• Proficiency with Parquet features and data optimization techniques.
• Experience with Microsoft Fabric, Direct Lake and lakehouse patterns.
• Strong SQL tuning skills for Fabric and PostgreSQL workloads.
• Ability to communicate architecture clearly and work autonomously on well-scoped features.

Responsibilities

• Design Bronze, Silver, and Gold data schemas with PAN-safe layout and retention settings.
• Build Fabric Spark notebooks for feature pipelines across multiple windows.
• Develop and maintain Silver adapters and canonical MERGE DAGs.
• Create Gold materialization pipelines for risk data feeds and scoring.
• Design Direct Lake semantic models and optimize performance.
• Collaborate with DevOps on Fabric IaC and capacity provisioning.

Skills

Data engineering

Spark development

SQL

Autonomy

Architecture thinking

Tools

Microsoft Fabric

Direct Lake

OneLake

Terraform

Job description

• Full-time

Company Description

Software Mind develops solutions that make an impact for companies around the globe. Tech giants & unicorns, transformative projects, emerging technologies and limitless opportunities - these are a few words that describe an average day for us. Building cross-functional engineering teams that take ownership and crave more means we’re always on the lookout for talented people who bring passion and creativity to every project. Our culture embraces openness, acts with respect, shows grit & guts and combines cooperation with enjoyment.

Job Description

Project - the aim you’ll have

Client is building a next-generation risk analysis and scoring platform on Microsoft Fabric, and this role owns its medallion data architecture end-to-end. You'll design and build Bronze / Silver / Gold Delta tables, Fabric Spark feature pipelines, Direct Lake semantic models, and physical-layout optimizations. This is our highest-utilization engineering role on the project - central to both Phase 1 platform foundation and Phase 2 risk product delivery, working alongside a Senior Technical Lead, Senior DevOps engineer, and mid-level developer.

The platform ingests transaction and merchant data from clients via SFTP and API, tokenizes sensitive PAN data at the ingestion boundary using our reserved-BIN HMAC-derived format-preserving scheme, and lands data in canonical Silver on Microsoft Fabric per our internal canonical spec. You'll build the pipeline that populates canonical Silver via MERGE, consume it via OneLake shortcuts, and materialize risk-specific Gold tables that feed both custom-authored DMN rules and pre-scored Mastercard Brighterion feeds.

Role - how you’ll contribute

• Design and implement Bronze, canonical Silver, and Gold Delta table schemas with PAN-safe physical layout - statistics allowlist configuration, liquid clustering, deliberate retention settings, V-Order optimization.
• Build Fabric Spark notebooks for the feature pipeline (rolling velocity features across 24h / 7d / 30d windows, merchant-level rolling features, hierarchical rollups, cross-merchant features via pan_token joins).
• Author per-flavor-version Silver adapters - one function per flavor, unioned by name, tested against golden fixtures.
• Build the canonical MERGE DAG (Bronze - canonical Silver, idempotent on _natural_key per Aperia's canonical Fabric internal spec v1.4).
• Build the Gold materialization pipeline for both grains (fact_transaction_risk, fact_merchant_risk) with correct score-source stamping and idempotent merge semantics.
• Design and implement Direct Lake semantic models per reporting surface; performance-test against representative data volumes.
• Configure OneLake namespace layouts, workspace catalogs, and cross-workspace shortcut relationships with the residuals programme.
• Establish idempotent Delta write patterns using delta-rs from Python containers (segmented parallel writes with single atomic commit).
• Fabric capacity sizing (F-SKU selection, load testing, Reservation vs PAYG decisions).
• Partner with the DevOps engineer on Fabric IaC (Terraform capacity provisioning plus Fabric REST workspace bootstrap).
• Consult on ClickHouse contingency if Direct Lake latency proves insufficient for client-tier UIs.

Qualifications

Expectations - the experience you need

• 5+ years data engineering experience, with at least 2 years hands-on Spark development (PySpark preferred).
• Parquet format expertise - footers, statistics allowlists, row-group sizing, dictionary encoding, column indexes.
• Microsoft Fabric hands-on experience - workspaces, capacities, notebooks, lakehouses, semantic models, Direct Lake, SQL analytics endpoint.
• SQL performance tuning skills for both OLAP (Fabric) and OLTP (PostgreSQL) workloads.
• Ability to communicate architecture clearly in writing and to work autonomously on well-scoped features.

Additional skills - the edge you have

• Financial services or payments domain background.
• Familiarity with published data-standard governance patterns - logical model vs physical profile, SCD2 dimensions, natural-key idempotency, extension attribute stores.
• OneLake shortcuts and cross-workspace lakehouse patterns.
• ClickHouse or similar OLAP engine familiarity.
• Terraform for Azure data resources.
• Prior experience with fluid or schema-flexible ingestion patterns.

Additional Information

What we offer:

• Flexible and remote cooperation options
• International projects with leading global clients
• Travels related to international projects
• Non-corporate atmosphere
• Access* to language classes
• Access* to knowledge-sharing initiatives
• Access* to private healthcare and life insurance
• Access* to multisport card

*The availability and terms of individual benefits may vary depending on the chosen form of cooperation.