Senior Data Engineer

🔥 13 hours ago

🇨🇿 Czechia – Remote

💵 Kč91k - Kč125k / month

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 0%

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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8am

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2005

⚖️ Legal

☁️ SaaS

💳 Fintech

💰 Private equity on 2024-08

Legal • SaaS • Fintech

8am is a professional business platform that helps law firms, accounting firms, associations, and other professional services manage billing, payments, compliance, and case/practice workflows. The company offers a suite of SaaS products — including LawPay, MyCase, CasePeer, DocketWise, CPACharge, ClientPay, and AffiniPay — that combine payments, practice management, document and case tools, and practical AI features to automate work, improve cash flow, and maintain industry-specific compliance. 8am emphasizes secure, compliant payments (PCI Level 1, IOLTA compliance for legal), integration with other tools, and measurable time and productivity savings for professionals.

📋 Description

• Lead design discussions around data architecture, modeling strategy, and platform evolution • Identify opportunities to simplify and scale the data platform • Drive improvements to data reliability, observability, and data quality • Establish and promote best practices for data modeling, testing, and code review • Help the team prioritize work and balance speed with technical quality • Develop and optimize ETL processes • Integrate data sources across the product portfolio to provide stakeholders with key information • Mentor other data engineers • Evaluate how business use cases fit together and fit into the product • Determine and proactively communicate future impacts of proposed or ongoing work • Help mitigate issues in the product and its ecosystem • Model data and metadata for ad-hoc and pre-built reporting and BI tools • Provide technical guidance on data platform access • Work with engineering to integrate tracking of new functionality into the data ecosystem • Optimize business-critical query performance • Explain project prioritization decisions

🎯 Requirements

• 7+ years of data engineering experience • Experience with data warehouses and large-scale analytics systems, including Redshift, Snowflake, or BigQuery • Strong experience designing and building data pipelines and data platforms • Cloud infrastructure experience; AWS preferred • Experience building and maintaining relational, document, key-value, and other NoSQL databases • Advanced Python and SQL skills • Experience working with third-party APIs for data integration • Experience with business process automation • Bachelor's degree or higher in a technical field, or similar combination of education and experience • Spark and Redshift experience; PySpark preferred • Experience with workflow orchestration tools such as Airflow, Prefect, or Dagster • Experience with Infrastructure as Code, including Terraform or CloudFormation • Experience with event or streaming systems, including Kafka or similar • CI/CD experience • Demonstrated experience leveraging AI tools and technologies to improve workflows, enhance decision-making, or drive innovation • Preferably based in Brno, Czech Republic

🏖️ Benefits

• Performance bonus opportunities and employee referral rewards • Flexible Time Off (FTO) • 13 paid public holidays aligned with the Czech calendar • Paid sick leave with additional support through the Czech social security system • Maternity, paternity, and parental leave in line with Czech regulations • Additional paid paternity leave from 8am • Full statutory benefits, including public health insurance, social security, pension, and work accident coverage • Access to Coursera (including Gen AI Academy) • Ongoing professional development • Clear growth paths, regular feedback, and opportunities for advancement • Opportunities to travel for company events, including potential U.S. visits • Local events, outings, and community initiatives • Company swag • Programs focused on wellness, learning, and connection