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

As of 2026-10-30, star schema appears in 375 job postings indexed by Skillenai over the past 90 days — Data Engineer has the most postings mentioning star schema, with demand share up 4.3% vs the prior 4 weeks.

Last updated · 90d ending 2026-10-30

Postings · last 90 days
375
Demand vs prior month
up 4.3% vs the prior 4 weeks
Top role · 33.3% of skill postings
Top hiring metro
Bengaluru

Which roles want star schema?

Upload your resume and Skillenai will show which roles your star schema experience fits, which skills you already cover, and what is missing.

Frequently asked questions about star schema

+Is star schema in demand in 2026?

Yes. star schema appears in 375 job postings indexed by Skillenai over the 90 days ending 2026-10-30. Data Engineer accounts for the most postings mentioning star schema (33.3% of all postings mentioning star schema).

+What jobs require star schema?

According to the Skillenai jobs index over the 90 days ending 2026-10-30, among roles with at least 20 postings, the highest shares mentioning star schema are BI Engineer (25.5% of that role’s postings mention star schema), Power BI Developer (20.6% of that role’s postings mention star schema), BI Developer (10.7% of that role’s postings mention star schema).

+What skills are commonly paired with star schema?

Across job postings indexed by Skillenai (90 days ending 2026-10-30), star schema most often appears alongside SQL, ETL, Python, data modeling, Power BI.

+Where is star schema most in demand?

As of 2026-10-30, the metro areas posting the most jobs requiring star schema are Bengaluru, Hyderabad, London, San Francisco, Pune, according to the Skillenai jobs index.

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

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

+Which skills come before and after star schema?

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 star schema — last 90 days

Career paths around star schema

Skills documented before and after this skill across employer changes.

Historical career profiles · all locations

Skills before star schema

Before star schemasql → star schema: 12 observed employer moves with this skill pairpython → star schema: 9 observed employer moves with this skill pairoracle → star schema: 8 observed employer moves with this skill pairETL → star schema: 8 observed employer moves with this skill pairPower BI → star schema: 8 observed employer moves with this skill pairSQL Server → star schema: 7 observed employer moves with this skill pairAzure Data Factory → star schema: 6 observed employer moves with this skill pairSSIS → star schema: 5 observed employer moves with this skill pairstar schemasql: 12 movessql12 movespython: 9 movespython9 movesoracle: 8 movesoracle8 movesETL: 8 movesETL8 movesPower BI: 8 movesPower BI8 movesSQL Server: 7 movesSQL Server7 movesAzure Data Factory: 6 movesAzure Data Factory6 movesSSIS: 5 movesSSIS5 moves

Skills after star schema

After star schemastar schema → SQL Server: 10 observed employer moves with this skill pairstar schema → sql: 9 observed employer moves with this skill pairstar schema → python: 7 observed employer moves with this skill pairstar schema → ETL: 7 observed employer moves with this skill pairstar schema → spark: 6 observed employer moves with this skill pairstar schema → snowflake: 5 observed employer moves with this skill pairstar schema → Spark Streaming: 5 observed employer moves with this skill pairstar schema → Redshift: 5 observed employer moves with this skill pairstar schemaSQL Server: 10 movesSQL Server10 movessql: 9 movessql9 movespython: 7 movespython7 movesETL: 7 movesETL7 movesspark: 6 movesspark6 movessnowflake: 5 movessnowflake5 movesSpark Streaming: 5 movesSpark Streaming5 movesRedshift: 5 movesRedshift5 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: sql12
Before: python9
Before: oracle8
Before: ETL8
Before: Power BI8
Before: SQL Server7
Before: Azure Data Factory6
Before: SSIS5
After: SQL Server10
After: sql9
After: python7
After: ETL7
After: spark6
After: snowflake5
After: Spark Streaming5
After: Redshift5

Roles most likely to require star schema

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

RolePostings mentioning skill% of role postings mentioning skill
BI Engineer1325.5%
Power BI Developer2020.6%
BI Developer1110.7%
Data Modeler310.0%
Analytics Engineering Director29.1%
Senior Data Engineer26.9%
Analytics Engineer364.6%
Business Intelligence Engineer44.3%
Business Intelligence Architect14.3%
Business Intelligence Developer43.6%

Roles with the most star schema postings

RolePostings mentioning skillShare of skill postings
Data Engineer12533.3%
Analytics Engineer369.6%
Data Architect266.9%
Data Analyst236.1%
Power BI Developer205.3%
BI Engineer133.5%
BI Developer112.9%
Business Intelligence Analyst92.4%
Software Engineer82.1%
Business Intelligence Developer41.1%

Top companies posting jobs requiring star schema

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

Top companies posting jobs requiring star schema
CompanyPostings · 90 days
Devoteam8
Nigel Frank7
Tieto6
Airwallex5
Talan5
Interchain5
Endava5
Salesforce4
AspenView Technology Partners4
Sopra Steria4

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 star schema

NamePostingsShare
Bengaluru123.2%
Hyderabad112.9%
London102.7%
San Francisco71.9%
Pune61.6%
Warsaw51.3%
Buenos Aires30.8%
Chicago30.8%
Coimbatore30.8%

Skills commonly paired with star schema

Explore related pages

How this was computed

Weekly job-count charts omit the incomplete current week (weeks start Monday, UTC). Totals include all postings in the stated window. Counts derive from the Skillenai jobs index over the 90 days ending 2026-10-30. 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 star schema by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s star schema postings by all star schema 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: 0.1% to 0.1%. 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 2,482 identified employers and covers 71% of earlier and 70% of latest indexed postings. Windows: 2026-06-30 to 2026-09-28 and 2026-07-28 to 2026-10-26 (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
4c5d1d706e49058c
data_as_of
2026-10-30
window_days
90
Compiled by Jared Rand · Data sourced from the Skillenai labor market index