Senior Data Platform Engineer, Microsoft Fabric

🔥 1 hour ago

🇵🇱 Poland – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 15%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Software Mind

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1999

🤖 Artificial Intelligence

☁️ SaaS

📡 Telecommunications

💰 Private Equity Round on 2020-12

Artificial Intelligence • SaaS • Telecommunications

Software Mind is a technology company that specializes in software development and digital transformation services. With a focus on AI and cloud solutions, the company offers a wide range of services including custom software development, mobile app development, and cloud consulting. Software Mind serves various industries such as financial services, telecom, biotech, and media, providing tailored solutions to accelerate digital transformations and business growth globally.

📋 Description

• Own the client's medallion data architecture end-to-end on Microsoft Fabric • Design and build Bronze, canonical Silver, and Gold Delta tables with PAN-safe physical layouts • Build Fabric Spark feature pipelines for rolling velocity, merchant-level rolling, hierarchical rollup, and cross-merchant features • Author per-flavor-version Silver adapters, unioned by name and tested against golden fixtures • Build the idempotent Bronze-to-canonical-Silver MERGE DAG according to Aperia's canonical Fabric internal specification v1.4 • Build Gold materialization pipelines for transaction-risk and merchant-risk grains with score-source stamping and idempotent merge semantics • Design and implement Direct Lake semantic models for reporting surfaces and performance-test them against representative data volumes • Configure OneLake namespace layouts, workspace catalogs, and cross-workspace shortcut relationships • Establish idempotent Delta write patterns using delta-rs from Python containers with segmented parallel writes and a single atomic commit • Size Fabric capacity, select F-SKUs, perform load testing, and make Reservation versus PAYG decisions • Partner with the DevOps engineer on Fabric IaC, including Terraform capacity provisioning and Fabric REST workspace bootstrap • Consult on a ClickHouse contingency if Direct Lake latency is insufficient for client-tier UIs • Collaborate with a Senior Technical Lead, Senior DevOps engineer, and mid-level developer on platform foundation and risk product delivery • Work on a platform ingesting transaction and merchant data via SFTP and API, tokenizing sensitive PAN data at the ingestion boundary, and feeding DMN rules and Mastercard Brighterion feeds

🎯 Requirements

• 5+ years data engineering experience • At least 2 years hands-on Spark development; PySpark preferred • Deep Delta Lake internals knowledge, including transaction log format, checkpoints, retention settings, VACUUM, OPTIMIZE, deletion vectors, and statistics collection • Parquet format expertise, including footers, statistics allowlists, row-group sizing, dictionary encoding, and column indexes • Microsoft Fabric hands-on experience with workspaces, capacities, notebooks, lakehouses, semantic models, Direct Lake, and SQL analytics endpoint • SQL performance tuning skills for OLAP (Fabric) and OLTP (PostgreSQL) workloads • Strong Python data engineering skills, including pandas, PyArrow, and delta-rs • Ability to communicate architecture clearly in writing and work autonomously on well-scoped features • PCI-scoped data platform experience • Financial services or payments domain background • Power BI semantic model authoring using DAX • Familiarity with published data-standard governance patterns, including logical model vs physical profile, SCD2 dimensions, natural-key idempotency, and 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

🏖️ Benefits

• 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