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Hire Data Engineer for Financial Advisors
Senior, direct, no layers

Hire a Data Engineer for Financial Advisors: pipelines from portfolio holdings and performance and fee and billing records into a warehouse the business owns, with reviews completed on schedule reported on numbers the team can trust.

Financial Advisors — Data Engineer

A senior data engineer for financial advisors

Most financial advisors businesses do not need more dashboards. They need the unglamorous work underneath: data pulled from each source on a schedule, checked for errors, modelled into consistent definitions, and delivered to one reporting layer the team can trust.

The shape of the data decides the shape of the build. An adviser's week is meetings, plans, and reviews: fact-finds completed, plans written, portfolios reviewed, and clients who need a call before they make a decision in a falling market. Sources, models, and dashboards follow from that, not from a standard template, which is why two businesses in the same industry still end up with different pipelines.

Handover is part of the deliverable: documented models, scheduled pipelines the team can monitor, and dashboards the team can extend. The business should not need the person who built it to keep the numbers flowing.

The reports that matter are the ones the team already rebuilds by hand: reviews completed on schedule, assets under advice by segment, referral rates by adviser, plan implementation rates, and client tenure and attrition. Each is rebuilt once from modelled data and then refreshed on a schedule, so the weekly meeting starts from numbers everyone trusts instead of a debate about whose spreadsheet is current.

What you get

What this engagement covers for financial advisors

  • Pipelines from portfolio holdings and performance and fee and billing records into a warehouse, run on a schedule with error logging, so reporting never depends on a manual export.
  • Data models that define each metric once, so reviews completed on schedule means the same thing in every report and nobody argues about definitions.
  • Dashboards and scheduled reports covering assets under advice by segment and referral rates by adviser, built for the decisions the team actually makes each week.
  • Data quality checks on client-review completion data and CRM activity: duplicates, missing records, and out-of-range values flagged before they reach a report.
  • A warehouse structure the business can extend, with sources documented and new feeds added without rebuilding existing models.
  • Monitoring and handover documentation, so the team sees when a pipeline fails and can fix or escalate it without the builder.
The systems financial advisors actually run

Built on your stack, not on top of it

Most financial advisors businesses already run on CRM (clients and reviews), planning software (cash-flow plans), portfolio platforms (holdings and performance), compliance systems (advice records), and accounting software (fees). The pipeline work starts from those systems as sources, not by replacing them, and lands the cleaned data in a warehouse the business owns, with dashboards on top for the team.

The first build is usually the report the team rebuilds by hand most often, often assets under advice by segment. When that report arrives on schedule, correct, and without manual work, the case for pipelining the remaining sources makes itself.

Take fee and billing records. It is the kind of source every financial advisors business has and nobody quite trusts. Once it flows through a tested pipeline with error logging, assets under advice by segment stops depending on whoever happened to build last month's spreadsheet.

CRM handles clients and reviews. planning software handles cash-flow plans. portfolio platforms handles holdings and performance. compliance systems handles advice records. accounting software handles fees.

How it works

From kickoff to delivery for financial advisors

  1. Audit the sources and decisions

    The first step is mapping where data lives and which decisions it should support: portfolio holdings and performance, fee and billing records, and the reports the team rebuilds by hand. referrals never asked for usually traces back to one of those gaps.

  2. Build the first pipeline

    One source is pipelined end to end, including client-review completion data, with error logging and a modelled table, before the remaining sources are added. The team sees a working report early, not after months of building.

  3. Model and report

    Metrics are defined once in the model layer, and dashboards are built for reviews completed on schedule and assets under advice by segment, so every team reads the same numbers and nobody maintains a private spreadsheet.

  4. Monitor and hand over

    Pipelines are scheduled and monitored, a runbook documents each feed, and the team is trained to spot and escalate failures, so the numbers keep flowing without the builder.

Why Omer

Why hire Omer

  • Pipelines built from portfolio holdings and performance and fee and billing records, not generic connectors
  • Metrics defined once, so reviews completed on schedule agrees in every report
  • Error logging and monitoring, so a failed portfolio holdings and performance feed is visible, not silent
  • One pipeline proven first, often portfolio holdings and performance feeding reviews completed on schedule, then the warehouse grows on evidence
  • Documented models the financial advisors team can extend without the builder
Outcomes

What changes in practice

The realistic outcome is a weekly meeting run on trusted numbers: reviews completed on schedule and assets under advice by segment arrive on schedule, definitions are no longer debated, and fact-finds arriving incomplete becomes visible early enough to act on. That is the standard this engagement is measured against, not a dashboard launch.

Over time the warehouse becomes an asset of its own: every new question starts from modelled data instead of a fresh export, so analysis gets faster the longer the system runs. Browse all hire engagements or discuss your data setup directly.

FAQ

Questions, answered

Do you work with small businesses or only large ones?
Smaller financial advisors businesses are often the best fit, because manual reporting hurts them most. Scope is set to the decisions the team actually makes, not to an enterprise architecture.
Do we need a data warehouse, or is a dashboard enough?
A dashboard on raw exports breaks the moment a source changes. The warehouse is what makes the dashboard reliable: cleaned, modelled data with definitions agreed once, so the reviews completed on schedule report survives source changes.
Which source should be pipelined first?
The one behind the most-argued number, often portfolio holdings and performance. When that report arrives on schedule and correct, the team trusts the approach enough to pipeline the rest.
What happens when a source system changes?
The pipeline's error logging surfaces the break in portfolio holdings and performance, the model layer isolates most format changes, and the runbook tells the financial advisors team how to respond. Reports degrade visibly rather than silently going wrong.
How is reporting for financial advisors different from generic reporting?
It is built around the decisions this business makes, including reviews completed on schedule and assets under advice by segment, rather than generic charts. The metrics, the sources, and the refresh schedule all follow from those decisions.
Currently available for select engagements

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