GDPR jobs in 2026 — demand, top roles hiring, and related skills

As of 2026-09-30, GDPR appears in 1,090 job postings indexed by Skillenai over the past 90 days — Product Manager has the most postings mentioning GDPR, with demand share up 0.9% vs the prior 4 weeks.

Last updated · 90d ending 2026-09-30

Postings · last 90 days
1,090
Demand vs prior month
up 0.9% vs the prior 4 weeks
Top role · 6.3% of skill postings
Top hiring metro
New York City

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Frequently asked questions about GDPR

+Is GDPR in demand in 2026?

Yes. GDPR appears in 1,090 job postings indexed by Skillenai over the 90 days ending 2026-09-30. Product Manager accounts for the most postings mentioning GDPR (6.3% of all postings mentioning GDPR).

+What jobs require GDPR?

According to the Skillenai jobs index over the 90 days ending 2026-09-30, among roles with at least 20 postings, the highest shares mentioning GDPR are Security Solution Architect (33.3% of that role’s postings mention GDPR), Frontier Agents Engineer (31.8% of that role’s postings mention GDPR), Compliance Program Manager (17.9% of that role’s postings mention GDPR).

+What skills are commonly paired with GDPR?

Across job postings indexed by Skillenai (90 days ending 2026-09-30), GDPR most often appears alongside ISO 27001, AWS, Python, SOC 2, HIPAA.

+Where is GDPR most in demand?

As of 2026-09-30, the metro areas posting the most jobs requiring GDPR are New York City, London, Berlin, San Francisco, Madrid, according to the Skillenai jobs index.

+How can I keep up with new GDPR content and jobs?

Skillenai indexes news, blog posts, and research papers mentioning GDPR alongside the jobs index. You can subscribe to a daily email digest of new GDPR content from your Skillenai account.

+Which skills come before and after GDPR?

The skill-flow chart shows skills documented in adjacent positions across observed employer changes. An outgoing skill is documented in the following position but not the preceding one. These are ideas to explore, not proven prerequisites, acquisition dates, or levels of mastery. Each ribbon counts employer moves with that skill pair; one move can contribute several pairs.

Weekly indexed postings requiring GDPR — last 90 days

Salary distribution

Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized

Career paths around GDPR

Skills documented before and after this skill across employer changes.

Historical career profiles · all locations

Skills before GDPR

Before GDPRpython → GDPR: 41 observed employer moves with this skill pairAWS → GDPR: 24 observed employer moves with this skill pairPower BI → GDPR: 21 observed employer moves with this skill pairsql → GDPR: 20 observed employer moves with this skill pairTableau → GDPR: 18 observed employer moves with this skill pairJenkins → GDPR: 14 observed employer moves with this skill pairkubernetes → GDPR: 12 observed employer moves with this skill pairKafka → GDPR: 12 observed employer moves with this skill pairGDPRpython: 41 movespython41 movesAWS: 24 movesAWS24 movesPower BI: 21 movesPower BI21 movessql: 20 movessql20 movesTableau: 18 movesTableau18 movesJenkins: 14 movesJenkins14 moveskubernetes: 12 moveskubernetes12 movesKafka: 12 movesKafka12 moves

Skills after GDPR

After GDPRGDPR → python: 21 observed employer moves with this skill pairGDPR → snowflake: 18 observed employer moves with this skill pairGDPR → docker: 12 observed employer moves with this skill pairGDPR → AWS: 12 observed employer moves with this skill pairGDPR → terraform: 10 observed employer moves with this skill pairGDPR → Power BI: 10 observed employer moves with this skill pairGDPR → AWS Lambda: 9 observed employer moves with this skill pairGDPR → Jenkins: 9 observed employer moves with this skill pairGDPRpython: 21 movespython21 movessnowflake: 18 movessnowflake18 movesdocker: 12 movesdocker12 movesAWS: 12 movesAWS12 movesterraform: 10 movesterraform10 movesPower BI: 10 movesPower BI10 movesAWS Lambda: 9 movesAWS Lambda9 movesJenkins: 9 movesJenkins9 moves
How to read this chart · view counts

Each side is an independent set of observed employer moves, not the same people followed through three stages. Ribbon widths compare move counts within that side. Internal moves are not included.

The following position documents a skill that the preceding position does not. Skills must be linked to both positions, with clear dates and no overlap. One move can connect several skill pairs. These patterns suggest skills to explore; they do not establish prerequisites, when a skill was learned, or a higher skill level.

Source: Skillenai talent graph, historical career profiles. Historical descriptions and coverage can change. Only the leading published connections are shown.

Observed connections and move counts
ConnectionMoves
Before: python41
Before: AWS24
Before: Power BI21
Before: sql20
Before: Tableau18
Before: Jenkins14
Before: kubernetes12
Before: Kafka12
After: python21
After: snowflake18
After: docker12
After: AWS12
After: terraform10
After: Power BI10
After: AWS Lambda9
After: Jenkins9

Roles most likely to require GDPR

Among roles with at least 20 postings in the same period.

RolePostings mentioning skill% of role postings mentioning skill
Security Solution Architect733.3%
Frontier Agents Engineer731.8%
Compliance Program Manager517.9%
Sales Systems Engineer517.9%
Head of Information Security416.7%
Data Security Engineer415.4%
Cybersecurity Director414.8%
Founding AI Engineer314.3%
Customer Solutions Architect313.6%
Enterprise Solution Architect313.6%

Roles with the most GDPR postings

RolePostings mentioning skillShare of skill postings
Product Manager696.3%
Security Engineer464.2%
Software Engineer423.9%
Data Engineer343.1%
Information Security Analyst222.0%
Solution Architect211.9%
Data Architect181.7%
Fullstack Engineer151.4%
AI Engineer141.3%
Forward Deployed Engineer141.3%

Top companies posting jobs requiring GDPR

Employers ranked by indexed job postings in the last 90 days.

Top companies posting jobs requiring GDPR
CompanyPostings · 90 days
CLERA35
Scale AI14
Devoteam13
Sopra Steria12
Doctolib11
Capco11
Parloa11
Roche10
Allianz9
Stripe9

Job postings indexed over the past 90 days, grouped by resolved employer. Counts are postings, not hires. Companies without a published page appear without a link.

Top metros hiring for GDPR

NamePostingsShare
New York City464.2%
London423.9%
Berlin353.2%
San Francisco292.7%
Madrid232.1%
Bengaluru211.9%
Amsterdam151.4%
Austin151.4%
Hyderabad151.4%

Skills commonly paired with GDPR

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How this was computed

Counts derive from the Skillenai jobs index over the 90 days ending 2026-09-30. Skills are resolved against the Skillenai canonical taxonomy, so the same entity is counted whether a posting writes 'Python', 'Python 3', or 'python'. Role prevalence divides postings mentioning GDPR by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s GDPR postings by all GDPR postings, including postings without a role. Shares need not sum to 100% for the displayed roles. Pages refresh weekly (or daily for the top-50 most-requested skills). Adjusted posting share: 0.4% to 0.5%. Demand share change is the relative percentage change between these adjusted shares. Each employer-and-ATS group has at least 10 postings in each 90-day window; its earlier posting count supplies the same weight in both windows. The panel includes 2,596 identified employers and covers 68% of earlier and 72% of latest indexed postings. Windows: 2026-06-02 to 2026-08-31 and 2026-06-30 to 2026-09-28 (UTC; end dates excluded). The windows overlap by 62 days. Dates reflect indexing, not the employer’s posting date. This measures posting mix, not total hiring or market-wide demand. Matching excludes entrants and exits; changes in crawl completeness within an employer or ATS can still affect the result.

source
Skillenai jobs index, deduplicated daily
entity_id
28d8e1a4ed3aea8a
data_as_of
2026-09-30
window_days
90
Hiring engineers who use GDPR?

The demand, skills, and geo numbers on this page come from the same Skillenai labor market index that powers our API. Use it for compensation benchmarking, hiring-competition analysis, and skill-adoption tracking.

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Compiled by Jared Rand · Data sourced from the Skillenai labor market index