Data Security Engineer Job at Whitehall Resources Ltd (Warwick)

Data Security Engineer

Architect, deploy, and configure data security solutions across various clients ...

Location

United States , Fort Meade

Salary:

86900.00 - 198000.00 USD / Year

Booz Allen Hamilton

Expiration Date

Until further notice

Requirements

3+ years of experience designing, deploying, and configuring data security solutions
Experience with Data Security Posture Management (DSPM) tools such as Varonis or BigID
Experience with Data Loss Prevention (DLP) tools such as Forcepoint, Trellix, or Symantec
Experience with data labeling and tagging solutions such as Purview, Fortra, or Titus
Experience documenting and diagraming technical architectures
Secret clearance
HS diploma or GED

Job Responsibility

Architect, deploy, and configure data security solutions across various clients for DoD, IC, and civilian federal clients
Create new architectures to meet client requirements adhering to Zero Trust best practices and IC data header guidelines
Interface with key stakeholders, including agency personnel and internal delivery and engineering teams
Assist in building custom policy to ensure positive control of data across hybrid cloud environments

What we offer

health, life, disability, financial, and retirement benefits
paid leave
professional development
tuition assistance
work-life programs
dependent care
recognition awards program

Data Security Engineer

The data security engineer is responsible for designing, implementing, and maint...

Location

United States , Spring

Salary:

106000.00 - 243000.00 USD / Year

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Bachelor's degree in Cybersecurity, Information Technology, Computer Science, or a related field. Or equivalent experience
8 years of experience in cybersecurity, with at least 5 years focused on DLP
Hands-on experience with tools like Zscaler DLP, Microsoft IPG, or equivalent
Strong understanding of data protection regulations (HIPPA, PCI, SOX) and enterprise compliance frameworks
Certified Information Systems Security Professional (CISSP), Certified Information Security Manager (CISM), or equivalent
Knowledge of the NIST 800-53, ISO 27001, and Zero Trust
Strong analytical and problem-solving skills
Excellent communication and leadership skills
Ability to manage multiple high-impact projects simultaneously

Job Responsibility

Lead the design and deployment of enterprise data protection capabilities like DLP, encryption, SSPM, and CASB
Lead the evaluation and adoption of new security tools and technologies
Manage and fine tune data security policies with the changing requirements
Contribute to security policies, standards, and procedures to ensure compliance with industry best practices and regulatory requirements
Collaborate with IT and DevOps teams to integrate security into the software development lifecycle (SDLC), infrastructure as code (IaC), and cloud environments
Collaborate with data warehouse team to feed data into SIEM and long term storage solutions
SME for the technical response of high-severity security incidents
Contribute to playbooks and procedures
Collaborate with key stakeholders, including IT, DevOps, legal, and compliance teams
Provide expert guidance on emerging threats, technologies, and regulatory requirements

What we offer

Health & Wellbeing benefits
Personal & Professional Development programs
Unconditional Inclusion environment
Comprehensive suite of benefits supporting physical, financial and emotional wellbeing

Fulltime

Senior AWS Data Engineer / Data Platform Engineer

We are seeking a highly experienced Senior AWS Data Engineer to design, build, a...

Location

United Arab Emirates , Dubai

Salary:

Not provided

NorthBay

Expiration Date

Until further notice

Requirements

8+ years of experience in data engineering and data platform development
Strong hands-on experience with: AWS Glue
Amazon EMR (Spark)
AWS Lambda
Apache Airflow (MWAA)
Amazon EC2
Amazon CloudWatch
Amazon Redshift
Amazon DynamoDB
AWS DataZone

Job Responsibility

Design, develop, and optimize scalable data pipelines using AWS native services
Lead the implementation of batch and near-real-time data processing solutions
Architect and manage data ingestion, transformation, and storage layers
Build and maintain ETL/ELT workflows using AWS Glue and Apache Spark on EMR
Orchestrate complex data workflows using Apache Airflow (MWAA)
Develop and manage serverless data processing using AWS Lambda
Design and optimize data warehouses using Amazon Redshift
Implement and manage NoSQL data models using Amazon DynamoDB
Utilize AWS DataZone for data governance, cataloging, and access management
Monitor, log, and troubleshoot data pipelines using Amazon CloudWatch

Fulltime

Data Engineer - Security

We are currently seeking a Data Engineer - Security (without Kafka Experience) t...

Location

India , Karnātaka

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

API-first data ingestion. Strong hands-on pulling data from REST/GraphQL APIs with auth (OAuth2, API keys), pagination, rate limits, retries/backoff, and webhooks
strong Python skills to normalize/enrich data and land it cleanly into S3 (schema, partitioning, Parquet)
AWS data lake, end to end. Comfortable building/operating S3-based lakes with layered zones (raw → harmonized → conformed → modeled), Glue Data Catalog, IAM/Secrets Manager, VPC endpoints, encryption, lifecycle/versioning, and cost/perf best practices (file sizing, compaction)
AWS Glue + PySpark expert. Designs and optimizes Glue jobs using PySpark/DynamicFrames, bookmarks for incremental loads, dependency packaging, robust error handling, logging/metrics, and unit tests
knows how to tune jobs for scale and cost
Airflow orchestration. Writes clean, parameterized, idempotent DAGs (sensors, SLAs, retries, alerts), manages dependencies across pipelines, and uses Git-based CI/CD to promote changes safely
Snowflake proficiency. Builds ELT models (staging/ODS/marts), tunes performance (warehouse sizing, clustering, micro-partitions, caching), uses Streams/Tasks/Snowpipe for CDC

Fulltime

Lead Data Security Engineer

Our client is seeking a Lead Data Security Engineer to drive enterprise-wide dat...

Location

United States , Johns Creek

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

5-6+ years of experience in data security or information security roles
Strong hands-on experience with Microsoft Purview, including DLP, data labeling, and eDiscovery
Deep experience with CASB solutions (Zscaler preferred)
Strong understanding of the data governance lifecycle
Experience with DLP platforms, data classification tools, and threat hunting tools
Knowledge of encryption and key management practices
Experience securing cloud platforms and hybrid environments
Proven ability to lead enterprise security initiatives and investigations

Job Responsibility

Lead enterprise data protection initiatives, including DLP and CASB strategy design and implementation
Architect data discovery, classification, labeling, and protection programs across cloud and on-prem environments
Lead DLP investigations and remediation efforts related to data loss and exfiltration risks
Support compliance initiatives and regulatory requirements
Integrate data protection telemetry into detection and monitoring platforms
Drive threat hunting efforts focused on data exfiltration and misuse
Evaluate and recommend security tools and vendors
Provide technical leadership and mentorship to security team members
Partner with cross-functional teams and executive stakeholders

What we offer

Medical, vision, dental, and life and disability insurance
401(k) plan

Fulltime

Principal Security Data Engineer

Partner with Cybersecurity leaders, risk stakeholders, and non-Cyber teams to de...

Location

United States , Springfield; New York City

Salary:

Not provided

Tier4 Group

Expiration Date

Until further notice

Requirements

Bachelor s degree in a relevant field (e.g., Computer Science, Data Engineering, Analytics, Information Security, or equivalent experience)
8+ years of experience working in Cybersecurity, risk, or technology domains, with deep hands-on experience in data engineering, analytics, or data architecture
Demonstrated experience designing and building data pipelines, data models, and analytics architectures, including batch and/or streaming patterns
Practical experience partnering with or working on modern data platforms and tools such as Databricks, Redshift, Snowflake, Alteryx, or equivalent technologies
Working knowledge of Cybersecurity domains, including data privacy, data protection, and core security concepts (e.g., vulnerabilities, threats, controls, risk)
Strong coding proficiency (e.g., Python, SQL) with the ability to assess multiple data sources and determine feasibility, data gaps, and engineering approaches to support Cyber use cases
Experience collaborating closely with data engineering, platform, and architecture teams to ensure long-term operability and support

Job Responsibility

Partner with Cybersecurity leaders, risk stakeholders, and non-Cyber teams to define and deliver data-driven Cyber use cases, aligned to enterprise risk priorities and frameworks (e.g., NIST CSF)
Leverage scalable data pipelines, models, and architectures that enable Cyber analytics, AI, reporting, and advanced use cases across vulnerability management, threat exposure, control effectiveness, and risk insights
Work directly with data owners and platform teams to ingest, transform, normalize, and model security and IT datasets, ensuring data quality, lineage, and trust
Develop and operationalize analytics products including executive dashboards, strategic metrics, and operational reporting for leadership, governance forums, and front-line Cyber teams
Prototype and productionize integrations across Cyber tools and enterprise data platforms, partnering closely with data engineering and architecture teams to ensure sustainability, performance, and supportability
Apply advanced analytics, data modeling, and automation techniques to translate raw Cyber telemetry into actionable outcomes, risk indicators, and decision support
Leverage AI-assisted development and analytics workflows (e.g., Claude, code-generation tools, AI-augmented analysis) to accelerate engineering, insight generation, and experimentation while operating within established security and data governance controls
Translate complex technical findings into clear, consumable narratives for executive and non-technical stakeholders, connecting analytics outputs directly to Cyber risk, business impact, and outcomes
Serve as a thought partner and technical advisor, helping shape the Cyber data strategy, architecture direction, and future-state analytics capabilities

Data Engineer - Security (Kafka Experience)

The Data Engineer - Security role focuses on designing and operating large-scale...

Location

India , Remote

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Kafka-Strong expertise in Kafka (4-5 years), with hands-on experience designing and operating large-scale, highly available event-streaming platforms, including partitioning strategies, consumer group optimization, schema management, and performance tuning
API-first data ingestion. Strong hands-on pulling data from REST/GraphQL APIs with auth (OAuth2, API keys), pagination, rate limits, retries/backoff, and webhooks
strong Python skills to normalize/enrich data and land it cleanly into S3 (schema, partitioning, Parquet)
AWS data lake, end to end. Comfortable building/operating S3-based lakes with layered zones (raw → harmonized → conformed → modeled), Glue Data Catalog, IAM/Secrets Manager, VPC endpoints, encryption, lifecycle/versioning, and cost/perf best practices (file sizing, compaction)
AWS Glue + PySpark expert. Designs and optimizes Glue jobs using PySpark/DynamicFrames, bookmarks for incremental loads, dependency packaging, robust error handling, logging/metrics, and unit tests
knows how to tune jobs for scale and cost
Airflow orchestration. Writes clean, parameterized, idempotent DAGs (sensors, SLAs, retries, alerts), manages dependencies across pipelines, and uses Git-based CI/CD to promote changes safely
Snowflake proficiency. Builds ELT models (staging/ODS/marts), tunes performance (warehouse sizing, clustering, micro-partitions, caching), uses Streams/Tasks/Snowpipe for CDC, and follows solid RBAC and data governance practices

Job Responsibility

Designing and operating large-scale event-streaming platforms using Kafka
API-first data ingestion
Building/operating S3-based lakes
Designing and optimizing Glue jobs using PySpark/DynamicFrames
Writing clean, parameterized, idempotent DAGs
Building ELT models in Snowflake

Fulltime

Senior Data Security Engineer

At Awin, data is central to everything we do, and protecting it is mission‑criti...

Location

Germany; Romania; United Kingdom; Spain; Italy; Sweden; France; Poland , Berlin; Iași; London; Madrid; Milano; München; Paris; Stockholm; Warsaw

Salary:

Not provided

Awin Global

Expiration Date

Until further notice

Requirements

Demonstrable experience in a dedicated, senior data security role, with a proven track record of designing and implementing data classification frameworks and DLP programmes in complex, multi-cloud or hybrid environments
Hands-on experience with DLP policy architecture, implementation, and tuning across endpoint, network, and cloud channels, including data classification tooling (sensitivity label schema, sensitive information types, auto-labelling policies)
Solid understanding of cloud data environments — AWS, Azure, M365 — including where sensitive data resides and how it moves, and working knowledge of CASB concepts and how they complement DLP controls
Experience engaging with data engineering, data architecture, or data governance teams, with sufficient breadth across data cataloguing, lineage, and access governance to position data security as an enabler rather than a constraint
Exposure to security architecture processes — architecture reviews, reference architecture development, and architectural decision-making — and an understanding of how AI services handle and retain data, with awareness of AI governance and DSPM as an emerging area of responsibility
Working knowledge of GDPR obligations and how regulatory requirements translate into technical controls
Able to operate with a high degree of autonomy in ambiguous, evolving environments — this role is building a capability from a fragmented baseline and requires someone who can design, iterate, and adapt without waiting for direction
Strong credibility with senior technical stakeholders and clear communication across audiences — able to engage as a peer with the Security Architect and data professionals, and translate complex requirements into practical guidance for non-technical stakeholders

Job Responsibility

Architect and implement Awin's data security framework in partnership with the Security Architect. Build and operationalise the classification taxonomy, sensitivity tiers, and data handling standards that will underpin all downstream DLP, DSPM, and AI governance controls
Support the implementation of Awin's data classification programme —labelling policies, and classification coverage across all data environment where sensitive data is processed or stored
Own the implementation of DLP policies that prevent sensitive data from being shared, exported, or transmitted in breach of Awin's confidentiality risk appetite. Define policy architecture, alert thresholds, and enforcement logic. Work with Internal IT on deployment and tuning, and maintain audit-ready records of DLP events and enforcement actions
Operationalise data security posture management tooling to provide visibility and control over how sensitive data flows to AI tools and third-party services. Ensure that AI data governance controls are technically enforceable, supporting Awin's AI risk appetite statements and the requirements of the AI governance framework
Act as the data security domain expert for the Security Architecture function. Work closely with the Security Architect to provide specialist input into architecture reviews, product designs, and technology assessments where data security considerations are material
Engage directly with stakeholders to understand how sensitive data flows across the organisation, and to ensure that data security requirements integrate coherently with the broader data governance framework

What we offer

Flexi-Week and Work-Life Balance: We prioritise your mental health and well-being, offering you a flexible four-day Flexi-Week at full pay and with no reduction to your annual holiday allowance. We also offer a variety of different paid special leaves as well as volunteer days
Remote Working Allowance: You will receive a monthly allowance to cover part of your running costs. In addition, we will support you in setting up your remote workspace appropriately
Pension: Awin offers access to an additional pension insurance to all employees in Germany
Flexi-Office: We offer an international culture and flexibility through our Flexi-Office and hybrid/remote work possibilities to work across Awin regions
Development: We’ve built our extensive training suite Awin Academy to cover a wide range of skills that nurture you professionally and personally, with trainings conveniently packaged together to support your overall development
Appreciation: Thank and reward colleagues by sending them a voucher through our peer-to-peer program

Fulltime

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