Apprecode

About the Role

We're looking for a seasoned engineer who bridges deep cloud infrastructure expertise with a security-first mindset. Your goal is to embed security into every stage of the development lifecycle — not bolt it on at the end.

What You'll Be Doing:

• Architect and maintain fault-tolerant infrastructure across AWS and Azure using Terraform, with a focus on modular design and immutable infrastructure principles
• Implement automated IaC policy checks (Checkov, Tfsec, OPA/Rego) to surface misconfigurations as early as the code review stage
• Build and harden end-to-end CI/CD pipelines (GitHub Actions, Azure DevOps, GitLab CI) with integrated SAST/DAST, container scanning, secret detection, and software composition analysis
• Apply zero-trust principles through a well-structured IAM strategy, RBAC, and centralized secrets management (HashiCorp Vault, Azure Key Vault)
• Deploy and secure containerized workloads on Kubernetes clusters (EKS / AKS)
• Automate the baking of EDR agents, vulnerability scanners, and observability tooling into golden base images (AMIs, Azure Golden Images)
• Continuously audit cloud posture via AWS Security Hub and Azure Defender, maintaining alignment with SOC2, ISO 27001, and CIS Benchmarks
• Build automated workflows that collect security findings, score them by risk, and route them into engineering backlogs (Jira)
• Centralize application, container, and infrastructure log delivery into SIEM systems to enable real-time threat detection
• Act as a bridge between Security and Engineering — delivering developer-friendly remediation guidance and maintaining reusable secure-by-default templates (Terraform modules, Helm charts)

What We're Looking For:

• 3+ years in Cloud Operations, DevOps, or DevSecOps with hands-on production experience across both AWS and Azure
• Proven track record of building and securing CI/CD pipelines at scale
• Strong proficiency with Terraform (modular architecture), and familiarity with Bicep or CloudFormation
• Scripting skills in Python, Bash, or PowerShell
• Solid understanding of Docker and Kubernetes (EKS/AKS): security hardening, service mesh, and container runtime defense
• Hands-on experience with security tooling such as SonarQube, Prisma Cloud, Wiz, Snyk, CrowdStrike, Microsoft Sentinel, or equivalents
• Practical knowledge of cloud network security, encryption, and end-to-end vulnerability management

Nice-to-Have Certifications:

• Certified DevSecOps Professional (CDP) or Practical DevSecOps
• AWS Certified Security – Specialty / Azure Security Engineer Associate
• CKA or CKS (Kubernetes)

About the Role

We are looking for a Senior Data Engineer with hands-on Palantir Foundry experience to design, build, and operate scalable data platforms supporting analytics, operations, and data-driven decision-making. You will work on complex, production-grade data systems and collaborate closely with product, analytics, and engineering teams.

Responsibilities

• Design, build, and maintain end-to-end data pipelines using Palantir Foundry
• Develop and manage data models, transformations, and workflows within Foundry
• Integrate data from multiple sources (APIs, databases, files, event streams)
• Ensure data quality, reliability, security, and governance across data products
• Optimize performance and scalability of data pipelines and analytics workloads
• Collaborate with product managers, analysts, and stakeholders to translate business needs into data solutions
• Support analytics, reporting, and advanced use cases (including ML/AI where applicable)
• Contribute to best practices, documentation, and data platform standards

Requirements

• 5+ years of experience as a Data Engineer (senior level)
• Strong hands-on experience with Palantir Foundry in production environments
• Excellent proficiency in Python and SQL
• Experience building and operating cloud-based data platforms
• Solid understanding of data modeling, ETL/ELT, and data warehousing concepts
• Strong focus on data quality, governance, and security
• Experience working in Agile, cross-functional teams
• Must be located in Europe

Nice to Have

• Palantir Foundry certification
• Experience with AWS, Azure, or GCP
• Exposure to analytics engineering or data product development
• Experience in regulated or enterprise environments
• Familiarity with CI/CD and infrastructure-as-code practices

Employment type: Freelance / Project-based
Duration: 6+ months
Location: Czech Republic, Hungary, Slovakia (must be based in Europe)
Language: English (professional working proficiency required)

About the Project
We're looking for a Senior Data Engineer to support a client in the wealth/asset management space. This is a long-term engagement (6+ months) — you'll work on data integration, data platform modernization, and analytics/reporting enablement in an environment where data accuracy, quality, and governance are business-critical.

What You'll Do:

• Design, build, and maintain scalable data pipelines from enterprise systems into analytics/reporting environments
• Integrate data from SAP, CRM, portfolio management platforms, APIs, databases, and flat files
• Build and optimize data models for BI, dashboards, and business analytics
• Prepare clean, reliable datasets to support Tableau / Power BI reporting
• Develop ETL/ELT workflows covering ingestion, transformation, validation, and reconciliation
• Implement data quality checks, monitoring, and logging
• Work with business stakeholders to translate reporting requirements into data models
• Support migration and modernization of legacy reporting/data workflows into scalable architecture
• Ensure data security, governance, and compliance aligned with financial industry standards

What We're Looking For:

• 5+ years of experience in data engineering, data warehousing, or analytics engineering
• Strong SQL skills and experience designing analytical data models
• Proven experience building ETL/ELT pipelines with structured business data
• Hands-on experience with cloud data platforms: Snowflake, Databricks, BigQuery, Redshift, Azure Synapse, or similar
• Experience integrating data from ERP/enterprise systems; SAP experience is a strong plus
• Experience supporting BI tools such as Tableau, Power BI, or Looker
• Solid understanding of data quality, lineage, governance, and access control
• Experience with APIs, batch loads, scheduled jobs, and file-based integrations
• Strong communication skills and ability to work in a client-facing environment

Nice to Have:

• Background in wealth/asset management, private banking, investment management, or financial services
• Experience with portfolio, holdings, transactions, performance, or client/advisor data
• SAP BW / SAP HANA / SAP Datasphere
• Python for data processing and automation
• dbt, Airflow, Fivetran, Matillion, Informatica, Azure Data Factory, or AWS Glue
• Experience with MDM, data catalogues, or data governance platforms
• Understanding of financial, regulatory, or client reporting workflows

About the Role

We are looking for an experienced Senior Databricks Data Engineer to design, build, and modernize large-scale data platforms. This role combines deep hands-on engineering with strategic ownership of data platform initiatives, migration projects, and cross-functional collaboration in a cloud-native environment.

Responsibilities

• Design, build, and optimize scalable data pipelines and data models.
• Lead and support large-scale data platform modernization and migration initiatives.
• Develop solutions using Databricks, AWS, and cloud-native technologies.
• Leverage LLM-powered tools for code translation and migration automation.
• Collaborate with cross-functional teams to deliver high-quality data solutions.
• Optimize data platform performance, scalability, and reliability.
• Communicate technical solutions and project progress to stakeholders.

Requirements (Must-Have)

• 5+ years of hands-on experience in data engineering.
• Strong practical experience with Databricks.
• 3+ years of experience building or migrating large corporate data platforms.
• Experience using LLM-powered tools for code translation or migration automation.
• Hands-on experience with AWS or other cloud providers.
• Solid data modeling skills.
• Strong communication and presentation skills with the ability to engage technical and business stakeholders.
• Fluent English (written and spoken).
• EU citizen, working from within the EU.

Nice to Have

• Consulting background.

What AppRecode Offers

• 20 days of paid annual leave plus public holidays.
• 5 paid sick days per year.
• Remote-first work environment.
• Friendly and supportive team culture.
• Personal development plans and access to experienced mentors and technical leaders.
• Reimbursement for sports activities and professional certifications (after probation).
• Ongoing learning opportunities: internal trainings and knowledge-sharing sessions.
• Free English classes if you want to further improve your communication skills.